that provide new subcommands. Refer to the documentation for more information.

- `kubectl rollout` and `rollback` now support StatefulSet.

- `kubectl scale` now uses the Scale subresource for kinds in the apps/v1beta2 group.

- `kubectl create configmap` and `kubectl create secret` subcommands now support
  the `--append-hash` flag, which enables unique but deterministic naming for

///

### Checking the current `root_path` { #checking-the-current-root-path }

You can get the current `root_path` used by your application for each request, it is part of the `scope` dictionary (that's part of the ASGI spec).

Here we are including it in the message just for demonstration purposes.

{* ../../docs_src/behind_a_proxy/tutorial001_py39.py hl[8] *}

Then, if you start Uvicorn with:

    *   The view role includes read permissions on poddisruptionbudget.policy resources.
*   RBAC rules can now match the same subresource on any resource using the form `*/(subresource)`. For example, `*/scale` matches requests to `replicationcontroller/scale`. ([#53722](https://github.com/kubernetes/kubernetes/pull/53722),[ @deads2k](https://github.com/deads2k))

* Fix GPU resource validation ([#28743](https://github.com/kubernetes/kubernetes/pull/28743), [@therc](https://github.com/therc))
* Scale kube-proxy conntrack limits by cores (new default behavior) ([#28876](https://github.com/kubernetes/kubernetes/pull/28876), [@thockin](https://github.com/thockin))

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unspecified, the account 'default' will be used. serviceAccount: create: true ## The name of the service account to use. If 'create' is 'true', a service account with that name ## will be created. name: "minio-sa" metrics: serviceMonitor: enabled: false # scrape each node/pod individually for additional metrics includeNode: false public: true additionalLabels: {} # for node metrics relabelConfigs: {} # for cluster metrics relabelConfigsCluste: {} # metricRelabelings: # - regex: (server|pod) # action: labeldrop...

unspecified, the account 'default' will be used. serviceAccount: create: true ## The name of the service account to use. If 'create' is 'true', a service account with that name ## will be created. name: "minio-sa" metrics: serviceMonitor: enabled: false # scrape each node/pod individually for additional metrics includeNode: false public: true additionalLabels: {} # for node metrics relabelConfigs: {} # for cluster metrics relabelConfigsCluste: {} # metricRelabelings: # - regex: (server|pod) # action: labeldrop...

unspecified, the account 'default' will be used. serviceAccount: create: true ## The name of the service account to use. If 'create' is 'true', a service account with that name ## will be created. name: "minio-sa" metrics: serviceMonitor: enabled: false # scrape each node/pod individually for additional metrics includeNode: false public: true additionalLabels: {} # for node metrics relabelConfigs: {} # for cluster metrics relabelConfigsCluste: {} # metricRelabelings: # - regex: (server|pod) # action: labeldrop...

## Pydantic models { #pydantic-models }

<a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a> is a Python library to perform data validation.

You declare the "shape" of the data as classes with attributes.

And each attribute has a type.

func (p *Parser) validSymbol(pseudo string, addr *obj.Addr, offsetOk bool) bool {
	if addr.Sym == nil || addr.Name != obj.NAME_EXTERN && addr.Name != obj.NAME_STATIC || addr.Scale != 0 || addr.Reg != 0 {
		p.errorf("%s symbol %q must be a symbol(SB)", pseudo, symbolName(addr))
		return false
	}
	if !offsetOk && addr.Offset != 0 {