iDirection, iSubset, iName, iPort := safelyParseSubsetKey(clusters[i].Name)
		jDirection, jSubset, jName, jPort := safelyParseSubsetKey(clusters[j].Name)
		if iName == jName {
			if iSubset == jSubset {
				if iPort == jPort {
					return iDirection < jDirection
				}
				return iPort < jPort
			}
			return iSubset < jSubset
		}
		return iName < jName
	})
	return clusters, nil
}

(pointer: coarse) {\n  .content-wrapper.iframe-mode .btn-iframe-close {\n    visibility: visible;\n  }\n}\n\n.content-wrapper.iframe-mode .navbar-nav {\n  overflow-y: auto;\n  width: 100%;\n}\n\n.content-wrapper.iframe-mode .navbar-nav .nav-link {\n  white-space: nowrap;\n}\n\n.content-wrapper.iframe-mode .navbar-nav .nav-item {\n  position: relative;\n}\n\n.content-wrapper.iframe-mode .navbar-nav .nav-item:hover .btn-iframe-close, .content-wrapper.iframe-mode .navbar-nav .nav-item:focus .btn-iframe-close...

//// tab | Python 3.10+

You can use the same builtin types as generics (with square brackets and types inside):

* `list`
* `tuple`
* `set`
* `dict`

And the same as with Python 3.8, from the `typing` module:

* `Union`
* `Optional` (the same as with Python 3.8)
* ...and others.

	netns1 := p.UpsertPodCacheWithNetns(string(pod.UID), wl)
	if !reflect.DeepEqual(netns1, ns) {
		t.Fatalf("Expected the same Netns for the same uid, got %v and %v", netns1, ns)
	}

	ns2 := newFakeNsInode(inc(), 1)
	wl2 := WorkloadInfo{
		Workload: podToWorkload(pod),
		Netns:    ns2,
	}
	// when using same uid, the original netns should be returned
	netns2 := p.UpsertPodCacheWithNetns(string(pod.UID), wl2)
	if netns2 != ns {

		iDirection, iSubset, iName, iPort := safelyParseSubsetKey(endpoints[i].ClusterName)
		jDirection, jSubset, jName, jPort := safelyParseSubsetKey(endpoints[j].ClusterName)
		if iName == jName {
			if iSubset == jSubset {
				if iPort == jPort {
					return iDirection < jDirection
				}
				return iPort < jPort
			}
			return iSubset < jSubset
		}
		return iName < jName
	})
	return endpoints, nil
}

And of course, it supports the same:

* data validation
* data serialization
* data documentation, etc.

This works the same way as with Pydantic models. And it is actually achieved in the same way underneath, using Pydantic.

/// info

Keep in mind that dataclasses can't do everything Pydantic models can do.

# Cookie Parameters

You can define Cookie parameters the same way you define `Query` and `Path` parameters.

## Import `Cookie`

First import `Cookie`:

//// tab | Python 3.10+

```Python hl_lines="3"
{!> ../../docs_src/cookie_params/tutorial001_an_py310.py!}
```

////

//// tab | Python 3.9+

```Python hl_lines="3"
{!> ../../docs_src/cookie_params/tutorial001_an_py39.py!}
```

////

This is the same mechanism used when you give permissions while logging in with Facebook, Google, GitHub, etc:

<img src="/img/tutorial/security/image11.png">

## JWT token with scopes

Now, modify the token *path operation* to return the scopes requested.

public abstract class DiscreteDomain<C extends Comparable> {

  /**
   * Returns the discrete domain for values of type {@code Integer}.
   *
   * <p>This method always returns the same object. That object is serializable; deserializing it
   * results in the same object too.
   *
   * @since 14.0 (since 10.0 as {@code DiscreteDomains.integers()})
   */
  public static DiscreteDomain<Integer> integers() {
    return IntegerDomain.INSTANCE;

SS=!!c(a,"article,aside,dialog,figcaption,figure,footer,header,hgroup,main,nav,section{display:block}mark{background:#FF0;color:#000}template{display:none}")),l||i(a,d),a}var k,l,m="3.7.3",n=a.html5||{},o=/^<|^(?:button|map|select|textarea|object|iframe|option|optgroup)$/i,p=/^(?:a|b|code|div|fieldset|h1|h2|h3|h4|h5|h6|i|label|li|ol|p|q|span|strong|style|table|tbody|td|th|tr|ul)$/i,q="_html5shiv",r=0,s={};!function(){try{var a=b.createElement("a");a.innerHTML="<xyz></xyz>",k="hidden"in a,l=1==a....