// +optional
  optional k8s.io.apimachinery.pkg.apis.meta.v1.ObjectMeta metadata = 1;

  // value represents the integer value of this priority class. This is the actual priority that pods
  // receive when they have the name of this class in their pod spec.
  optional int32 value = 2;

  // globalDefault specifies whether this PriorityClass should be considered as

   * <p>Modifications to this fluent iterable before a call to {@code iterator()} are reflected in
   * the returned fluent iterable. That is, the iterator skips the first {@code numberToSkip}
   * elements that exist when the iterator is created, not when {@code skip()} is called.
   *
   * <p>The returned fluent iterable's iterator supports {@code remove()} if the {@code Iterator} of

{* ../../docs_src/body/tutorial001_py310.py hl[5:9] *}


The same as when declaring query parameters, when a model attribute has a default value, it is not required. Otherwise, it is required. Use `None` to make it just optional.

For example, this model above declares a JSON "`object`" (or Python `dict`) like:

```JSON
{
    "name": "Foo",
    "description": "An optional description",
    "price": 45.2,

	cmd := &cobra.Command{
		Use:   "metrics <workload name>...",
		Short: "Prints the metrics for the specified workload(s) when running in Kubernetes.",
		Long: `
Prints the metrics for the specified service(s) when running in Kubernetes.

This command finds a Prometheus pod running in the specified istio system
namespace. It then executes a series of queries per requested workload to
find the following top-level workload metrics: total requests per second,

* Limit use of tags when calling EC2 API to prevent API throttling for very large clusters ([#76749](https://github.com/kubernetes/kubernetes/pull/76749), [@mcrute](https://github.com/mcrute))

     *
     * @return The of the artifact in bytes or a negative value if unknown.
     */
    long getContentLength();

    /**
     * Gets the timestamp when the transfer of this artifact was started.
     *
     * @return The timestamp when the transfer of this artifact was started.
     */
    long getTransferStartTime();

                    "msg": "Input should be a valid integer, unable to parse string as an integer",
                    "input": "seventy",
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [
                {
                    "loc": ["body", "age"],
                    "msg": "value is not a valid integer",

                                    /*remote_func_outputs=*/true);
}
TEST(CAPI, RemoteExecuteSilentCopiesLocalAsyncFuncOrdering) {
  // A remote input may be not ready when we start running a function. Test that
  // the function execution should wait until the remote input is ready.
  TestRemoteExecuteSilentCopiesFunc(/*async=*/true, /*remote=*/false,

### There are no limits on how many server pools can be combined

```

///

### Pydantic and FastAPI `examples`

When you add `examples` inside a Pydantic model, using `schema_extra` or `Field(examples=["something"])` that example is added to the **JSON Schema** for that Pydantic model.

And that **JSON Schema** of the Pydantic model is included in the **OpenAPI** of your API, and then it's used in the docs UI.