* Unlike the top-level `dependencies` block, constraints are not in a separate block.
** Instead, constraints are added by decorating a dependency with `constraint(...)` like `implementation(constraint("org:foo:1.0"))`.

			}
			if score[c.ID] == ScoreReadTuple {
				score[c.Args[0].ID] = ScoreControl
				continue
			}
			score[c.ID] = ScoreControl
		}
	}
	priq.score = score

	// An edge represents a scheduling constraint that x must appear before y in the schedule.
	type edge struct {
		x, y *Value
	}
	edges := make([]edge, 0, 64)

	// inEdges is the number of scheduling edges incoming from values that haven't been scheduled yet.

              "Invalid input list: type mismatch the op def expectation");
    } else if (!inputs.empty()) {
      if (arg_def.type_attr().empty())
        return FailedPrecondition(
            "Invalid opdef type constraint: either type or type_attr required");

      attrs_[arg_def.type_attr()] =
          TypeAttr::get(cast<MlirTensor>(inputs.front())->getElementType());
    }
  } else if (!arg_def.type_list_attr().empty()) {

			if err != nil {
				if errors.IsNotFound(err) {
					continue
				}
				return fmt.Errorf("couldn't get pod which should be deleted due to scheduling constraints %q: %v", podToDeleteName, err)
			}
			logger.V(5).Info("DaemonSet pod on node should be deleted due to scheduling constraints", "daemonset", klog.KObj(ds), "pod", klog.KObj(podToDelete), "node", podToDelete.Spec.NodeName)
			oldPodsToDelete = append(oldPodsToDelete, podToDeleteName)
		}

	return r, s, nil
}

type nistCurve[Point nistPoint[Point]] struct {
	newPoint func() Point
	curve    elliptic.Curve
	N        *bigmod.Modulus
	nMinus2  []byte
}

// nistPoint is a generic constraint for the nistec Point types.
type nistPoint[T any] interface {
	Bytes() []byte
	BytesX() ([]byte, error)
	SetBytes([]byte) (T, error)
	Add(T, T) T
	ScalarMult(T, []byte) (T, error)

There can be several approaches to achieve this, and I'll tell you more about specific strategies in the next chapters, for example when talking about Docker and containers.

The main constraint to consider is that there has to be a **single** component handling the **port** in the **public IP**. And then it has to have a way to **transmit** the communication to the replicated **processes/workers**.

        then:
        succeeds ':checkDeps'

        then:
        resolve.expectGraph {
            root(":", ":test:") {
                constraint('org.gradle.test:lib:1.0', 'org.gradle.test:lib:1.0')
                edge('org.gradle.test:lib', 'org.gradle.test:lib:1.0') {
                    byConstraint()
                }
            }
        }
    }

	isEphemeral := pvcSource == nil && podVolume.VolumeSource.Ephemeral != nil
	if isEphemeral {
		// Generic ephemeral inline volumes are handled the
		// same way as a PVC reference. The only additional
		// constraint (checked below) is that the PVC must be
		// owned by the pod.
		pvcSource = &v1.PersistentVolumeClaimVolumeSource{
			ClaimName: ephemeral.VolumeClaimName(pod, &podVolume),
		}
	}
	if pvcSource != nil {

		payload, err := io.ReadAll(io.LimitReader(r.Body, maxLocationConstraintSize))
		if err != nil {
			authZLogIf(ctx, err, logger.ErrorKind)
			return ErrMalformedXML
		}

		// Populate payload to extract location constraint.
		r.Body = io.NopCloser(bytes.NewReader(payload))
		region, s3Err = parseLocationConstraint(r)
		if s3Err != ErrNone {
			return s3Err
		}

		// Populate payload again to handle it in HTTP handler.

// runtime, this means all malloc size classes larger than the cutoff must
// be multiples of four words. On 32-bit systems that's 16 bytes, and
// all size classes >= 16 bytes are 16-byte aligned, so no real constraint.
// On 64-bit systems, that's 32 bytes, and 32-byte alignment is guaranteed
// for size classes >= 256 bytes. On a 64-bit system, 256 bytes allocated
// is 32 pointers, the bits for which fit in 4 bytes. So MaxPtrmaskBytes