})
         .done(function(worst) {
            details.text('Lowest mutator utilization in ' + niceDuration(windowNS) + ' windows:');
            for (var i = 0; i < worst.length; i++) {
              details.append($('<br>'));
              var text = worst[i].MutatorUtil.toFixed(3) + ' at time ' + niceDuration(worst[i].Time);
              details.append($('<a/>').text(text).attr('href', worst[i].URL));
            }
         });

		acc.mmu = mu
	}
	acc.bound = acc.mmu

	if acc.nWorst == 0 {
		// If the minimum has reached zero, it can't go any
		// lower, so we can stop early.
		return mu == 0
	}

	// Consider adding this window to the n worst.
	if len(acc.wHeap) < acc.nWorst || mu < acc.wHeap[0].MutatorUtil {
		// This window is lower than the K'th worst window.
		//
		// Check if there's any overlapping window

 * offering expected O(n + k log k) performance (worst case O(n log k)) for n calls to {@link
 * #offer} and a call to {@link #topK}, with O(k) memory. In comparison, quickselect has the same
 * asymptotics but requires O(n) memory, and a {@code PriorityQueue} implementation takes O(n log
 * k). In benchmarks, this implementation performs at least as well as either implementation, and
 * degrades more gracefully for worst-case input.
 *

	Error   *apiservercel.Error
	// If true, the compiled expression contains a reference to the identifier "oldSelf".
	UsesOldSelf bool
	// Represents the worst-case cost of the compiled expression in terms of CEL's cost units, as used by cel.EstimateCost.
	MaxCost uint64
	// MaxCardinality represents the worse case number of times this validation rule could be invoked if contained under an
	// unbounded map or list in an OpenAPIv3 schema.
	MaxCardinality uint64

 * offering expected O(n + k log k) performance (worst case O(n log k)) for n calls to {@link
 * #offer} and a call to {@link #topK}, with O(k) memory. In comparison, quickselect has the same
 * asymptotics but requires O(n) memory, and a {@code PriorityQueue} implementation takes O(n log
 * k). In benchmarks, this implementation performs at least as well as either implementation, and
 * degrades more gracefully for worst-case input.
 *

	constValue.reset(OpInvalid)
	return lattice{bottom, nil}
}

func (t *worklist) visitValue(val *Value) {
	if !possibleConst(val) {
		// fast fail for always worst Values, i.e. there is no lowering happen
		// on them, their lattices must be initially worse Bottom.
		return
	}

	oldLt := t.getLatticeCell(val)
	defer func() {
		// re-visit all uses of value if its lattice is changed
		newLt := t.getLatticeCell(val)

   *     .collect(least(2, comparingInt(String::length)))
   * // returns {"foo", "quux"}
   * }</pre>
   *
   * <p>This {@code Collector} uses O(k) memory and takes expected time O(n) (worst-case O(n log
   * k)), as opposed to e.g. {@code Stream.sorted(comparator).limit(k)}, which currently takes O(n
   * log n) time and O(n) space.
   *
   * @throws IllegalArgumentException if {@code k < 0}

   *     .collect(least(2, comparingInt(String::length)))
   * // returns {"foo", "quux"}
   * }</pre>
   *
   * <p>This {@code Collector} uses O(k) memory and takes expected time O(n) (worst-case O(n log
   * k)), as opposed to e.g. {@code Stream.sorted(comparator).limit(k)}, which currently takes O(n
   * log n) time and O(n) space.
   *
   * @throws IllegalArgumentException if {@code k < 0}
   * @since 22.0

			return &checker.CallEstimate{CostEstimate: sz.MultiplyByCostFactor(2 * common.StringTraversalCostFactor), ResultSize: &size}
		}
	case "split":
		if target != nil {
			sz := l.sizeEstimate(*target)

			// Worst case size is where is that a separator of "" is used, and each char is returned as a list element.
			max := sz.Max
			if len(args) > 1 {
				if v := args[1].Expr().AsLiteral(); v != nil {

The configuration file might change infrequently, or only change when some other (correctly tracked) input changes as well.
The worst that could happen is that your task doesn't execute when it should.
Developers can always re-run the build with `clean`, and "fix" their builds for the price of a slow rebuild.