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.

- [`KT-64953`](https://youtrack.jetbrains.com/issue/KT-64953) ObjCExport: Analysis-Api: enum
- [`KT-65348`](https://youtrack.jetbrains.com/issue/KT-65348) ObjCExport: Char as function return type
- [`KT-65738`](https://youtrack.jetbrains.com/issue/KT-65738) ObjCExport: Analysis-Api: Generate base declarations

	"searches":    "A list of DNS search domains for host-name lookup. This will be appended to the base search paths generated from DNSPolicy. Duplicated search paths will be removed.",

message ConfigMapNodeConfigSource {
  // Namespace is the metadata.namespace of the referenced ConfigMap.
  // This field is required in all cases.
  optional string namespace = 1;

  // Name is the metadata.name of the referenced ConfigMap.
  // This field is required in all cases.
  optional string name = 2;

  // UID is the metadata.UID of the referenced ConfigMap.

	// Configuration for the base component.
	Base *BaseConfig `protobuf:"bytes,37,opt,name=base,proto3" json:"base,omitempty"`
	// Configuration for istiod-remote.
	IstiodRemote *IstiodRemoteConfig `protobuf:"bytes,38,opt,name=istiodRemote,proto3" json:"istiodRemote,omitempty"`
	// Specifies the aliases for the Istio control plane revision. A MutatingWebhookConfiguration

	FSType string `json:"fsType,omitempty" protobuf:"bytes,2,opt,name=fsType"`
	// storagePolicyName is the storage Policy Based Management (SPBM) profile name.
	// +optional
	StoragePolicyName string `json:"storagePolicyName,omitempty" protobuf:"bytes,3,opt,name=storagePolicyName"`
	// storagePolicyID is the storage Policy Based Management (SPBM) profile ID associated with the StoragePolicyName.
	// +optional

* 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. 🚀