// In addition, to support lookup by IP address, they will have *alias* names for each IP the resource represents.
// There may be multiple aliases for the same resource (examples: service in multiple networks, or a dual-stack workload).
// Aliases are keyed by network/IP address. Example: "default/1.2.3.4".
//
// In some cases, we do not know the IP address of a Workload. For instance, we may simply know

						!u.nify(f.typ, g.typ, emode, p) {
						return false
					}
				}
				return true
			}
		}

	case *Pointer:
		// Two pointer types unify if their base types unify.
		if y, ok := y.(*Pointer); ok {
			return u.nify(x.base, y.base, emode, p)
		}

	case *Tuple:
		// Two tuples types unify if they have the same number of elements
		// and the types of corresponding elements unify.

		var min, max uint64
		if unsigned {
			min, _ = constant.Uint64Val(n.Cases[0])
			max, _ = constant.Uint64Val(n.Cases[len(n.Cases)-1])
		} else {
			mn, _ := constant.Int64Val(n.Cases[0])
			mx, _ := constant.Int64Val(n.Cases[len(n.Cases)-1])
			min = uint64(mn)
			max = uint64(mx)
		}
		// Compare idx-min with max-min, to see if we can use the jump table.

		// updated during the eviciton (due to either node resource pressure or
		// node graceful shutdown). We do not re-generate the conditions based
		// on the container statuses as they are added based on one-time events.
		cType := v1.DisruptionTarget
		if _, condition := podutil.GetPodConditionFromList(oldPodStatus.Conditions, cType); condition != nil {

//
//	//go:generate -command xxx args...
//
// specifies, for the remainder of this source file only, that the
// string xxx represents the command identified by the arguments. This
// can be used to create aliases or to handle multiword generators.
// For example,
//
//	//go:generate -command foo go tool foo
//
// specifies that the command "foo" represents the generator
// "go tool foo".
//

* Improved **correctness** in corner cases.
* **Safer** types.
* Better **performance** and **less energy** consumption.
* Better **extensibility**.
* etc.

...all this while keeping the **same Python API**. In most of the cases, for simple models, you can simply upgrade the Pydantic version and get all the benefits. 🚀

}

def TF_StatelessRandomGetAlgOp : TF_Op<"StatelessRandomGetAlg", []> {
  let summary = "Picks the best counter-based RNG algorithm based on device.";

  let description = [{
This op picks the best counter-based RNG algorithm based on device.
  }];

  let arguments = (ins);

  let results = (outs
    Res<TF_Int32Tensor, [{The RNG algorithm (shape int32[]).}]>:$alg