private final DisplayName displayName;
    // Null when the value has been calculated and assigned to the result field. When not null the result has not been calculated
    // or is currently being calculated or has just been calculated. It is possible for both this field and the result field to be
    // non-null at the same time for a brief period just after the result has been calculated
    @Nullable
    private volatile CalculationState<T, S> calculationState;

  MinMax calibration calculates the global min and global max values.

  global min = min of given sample inputs
  global max = max of given sample inputs
  """

  def get_min_max_value(self) -> tuple[float, float]:
    """Calculates the global min and max values.

    Returns:
      (min_value, max_value): Min and max calculated using MinMax
    """
    return (

		if err != nil {
			return 0, time.Time{}, fmt.Errorf("unable to calculate ready pods: %s", err)
		}
		replicaCount = int32(math.Ceil(usageRatio * float64(readyPodCount)))
	} else {
		// Scale to zero or n pods depending on usageRatio
		replicaCount = int32(math.Ceil(usageRatio))
	}

	return replicaCount, timestamp, err
}

        failure.assertHasCause("Could not get resource '${module.pom.uri}'")
    }

    @ToBeFixedForConfigurationCache
    def "does not download anything when task dependencies are calculated for configuration that is used as a task input"() {
        def module = mavenHttpRepo.module("test", "test", "1.0").publish()
        buildFile << """
            allprojects {
                repositories {

		CheckSize(t1)

	case TCHANARGS:
		t1 := t.ChanArgs()
		CalcSize(t1) // just in case
		// Make sure size of t1.Elem() is calculated at this point. We can
		// use CalcSize() here rather than CheckSize(), because the top-level
		// (possibly recursive) type will have been calculated before the fake
		// chanargs is handled.
		CalcSize(t1.Elem())
		if t1.Elem().width >= 1<<16 {

  return folded_results.front();
}

// Calculates zero-point offset by reducing the weight and multiply it with zp.
// Originally, we have:
//   output = (int8_input - input_zp) * (int8_weight - weight_zp)
// So, offset = input_zp * int8_weight + weight_zp * int8_input
// - input_zp * weight_zp.
// This function calculates the `offset` value mentioned above. Note that the

			// when scoring later.
			s.IgnoredNodes.Insert(node.Node().Name)
			continue
		}
		for i, constraint := range s.Constraints {
			// per-node counts are calculated during Score.
			if constraint.TopologyKey == v1.LabelHostname {
				continue
			}
			pair := topologyPair{key: constraint.TopologyKey, value: node.Node().Labels[constraint.TopologyKey]}

        treeTaskGraphOps.size() == 2
        treeTaskGraphOps[0].displayName == "Calculate build tree task graph"
        treeTaskGraphOps[0].parentId == applyRootProjectBuildScript.id
        treeTaskGraphOps[1].displayName == "Calculate build tree task graph"
        treeTaskGraphOps[1].parentId == root.id

        // The task graph for buildB is calculated multiple times, once for the buildscript dependency and again for the production dependency

 *     However, when the value itself is also calculated from work node outputs, then the provider will carry dependencies on the work nodes that produce the value (as the consumer does care about the value).
 *     </p>

```
modifiedFiles.finalizeValueOnRead()
```

In other words, this method calculates the final value lazily as required, whereas `finalizeValue()` calculates the final value eagerly.
This method can be used when the value may be expensive to calculate or may not have been configured yet.