### CLI

This release includes a change to [kubectl get and describe to work better with extensions](https://github.com/kubernetes/enhancements/issues/515), as the server, rather than the client, returns this information for a smoother user experience.

### Network

  // +optional
  optional HorizontalPodAutoscalerStatus status = 3;
}

// HorizontalPodAutoscalerCondition describes the state of
// a HorizontalPodAutoscaler at a certain point.
message HorizontalPodAutoscalerCondition {
  // type describes the current condition
  optional string type = 1;

  // status is the status of the condition (True, False, Unknown)
  optional string status = 2;

		case dwarf.TagVariable:
			name, _ := e.Val(dwarf.AttrName).(string)
			// As of https://reviews.llvm.org/D123534, clang
			// now emits DW_TAG_variable DIEs that have
			// no name (so as to be able to describe the
			// type and source locations of constant strings)
			// like the second arg in the call below:
			//
			//     myfunction(42, "foo")
			//
			// If a var has no name we won't see attempts to

- Alter wording to describe pods using a pvc ([#95635](https://github.com/kubernetes/kubernetes/pull/95635), [@RaunakShah](https://github.com/RaunakShah)) [SIG CLI]

# Using TensorFlow Securely

This document discusses the TensorFlow security model. It describes the security
risks to consider when using models, checkpoints or input data for training or
serving. We also provide guidelines on what constitutes a vulnerability in
TensorFlow and how to report them.

This document applies to other repositories in the TensorFlow organization,
covering security practices for the entirety of the TensorFlow ecosystem.

  // +optional
  optional HorizontalPodAutoscalerStatus status = 3;
}

// HorizontalPodAutoscalerCondition describes the state of
// a HorizontalPodAutoscaler at a certain point.
message HorizontalPodAutoscalerCondition {
  // type describes the current condition
  optional string type = 1;

  // status is the status of the condition (True, False, Unknown)
  optional string status = 2;

License with respect to some or all of the Covered Software due to
statute, judicial order, or regulation then You must: (a) comply with
the terms of this License to the maximum extent possible; and (b)
describe the limitations and the code they affect. Such description must
be placed in a text file included with all distributions of the Covered
Software under this License. Except to the extent prohibited by statute

  //   must be a BER-encoded ASN.1 Certificate structure as described in section 4 of RFC5280.
  //  3. Non-PEM content may appear before or after the "CERTIFICATE" PEM blocks and is unvalidated,
  //   to allow for explanatory text as described in section 5.2 of RFC7468.
  //
  // If more than one PEM block is present, and the definition of the requested spec.signerName

That extra info will be added as-is to the output **JSON Schema** for that model, and it will be used in the API docs.

=== "Pydantic v2"

    In Pydantic version 2, you would use the attribute `model_config`, that takes a `dict` as described in <a href="https://docs.pydantic.dev/latest/usage/model_config/" class="external-link" target="_blank">Pydantic's docs: Model Config</a>.

message PodSchedulingContext {
  // Standard object metadata
  // +optional
  optional k8s.io.apimachinery.pkg.apis.meta.v1.ObjectMeta metadata = 1;

  // Spec describes where resources for the Pod are needed.
  optional PodSchedulingContextSpec spec = 2;

  // Status describes where resources for the Pod can be allocated.
  // +optional
  optional PodSchedulingContextStatus status = 3;
}