JWT token returned by the Identity Provider should include a custom claim for the policy, this is required to create a STS user in MinIO. The name of the custom claim could be either `policy` or `<NAMESPACE_PREFIX>policy`.  If there is no namespace then `claim_prefix` can be ignored. For example if the custom claim name is `https://min.io/policy` then, `claim_prefix` should be set as `https://min.io/`.

- Open MinIO Console and click `Login with SSO`

- Kube-apiserver: fixed a 1.27+ regression watching a single namespace via the deprecated /api/v1/watch/namespaces/$name endpoint where watch events were not delivered after the watch was established. ([#125145](https://github.com/kubernetes/kubernetes/pull/125145), [@xyz-li](https://github.com/xyz-li)) [SIG API Machinery, Node and Testing]...

		}
	}

	opts.DeletePrefix = deletePrefix
	opts.Versioned = globalBucketVersioningSys.PrefixEnabled(bucket, object)
	// Objects matching prefixes should not leave delete markers,
	// dramatically reduces namespace pollution while keeping the
	// benefits of replication, make sure to apply version suspension
	// only at bucket level instead.
	opts.VersionSuspended = globalBucketVersioningSys.Suspended(bucket)

		})
	}

	return metrics
}

func getResourceMetricDescription(subSys MetricSubsystem, name MetricName, help string) MetricDescription {
	return MetricDescription{
		Namespace: nodeMetricNamespace,
		Subsystem: subSys,
		Name:      name,
		Help:      help,
		Type:      gaugeMetric,
	}
}

func getResourceMetrics() *MetricsGroupV2 {
	mg := &MetricsGroupV2{

- Kube-apiserver: fixes a 1.27+ regression watching a single namespace via the deprecated /api/v1/watch/namespaces/$name endpoint where watch events were not delivered after the watch was established ([#126151](https://github.com/kubernetes/kubernetes/pull/126151), [@xyz-li](https://github.com/xyz-li)) [SIG API Machinery and Testing]

#include "tensorflow/core/protobuf/meta_graph.pb.h"
#include "tensorflow/core/util/equal_graph_def.h"

namespace tensorflow {
TF_Tensor* TF_TensorFromTensor(const Tensor& src, absl::Status* status);
absl::Status TF_TensorToTensor(const TF_Tensor* src, Tensor* dst);

namespace {

static void ExpectHasSubstr(StringPiece s, StringPiece expected) {
  EXPECT_TRUE(absl::StrContains(s, expected))

    *   New endpoints in `tf.image` namespace: `tf.image.extract_image_patches`
    *   New endpoints in `tf.debugging` namespace:
        `tf.debugging.check_numerics`, `tf.debugging.is_finite`,
        `tf.debugging.is_inf`, `tf.debugging.is_nan`.
    *   New endpoints in `tf.dtypes` namespace: `tf.dtypes.as_string`.
    *   New endpoints in `tf.io` namespace: `tf.io.decode_base64`,

// BucketAlreadyExists the requested bucket name is not available.
type BucketAlreadyExists GenericError

func (e BucketAlreadyExists) Error() string {
	return "The requested bucket name is not available. The bucket namespace is shared by all users of the system. Please select a different name and try again."
}

// BucketAlreadyOwnedByYou already owned by you.
type BucketAlreadyOwnedByYou GenericError

- Kube-apiserver: fixes a 1.27+ regression watching a single namespace via the deprecated /api/v1/watch/namespaces/$name endpoint where watch events were not delivered after the watch was established ([#126150](https://github.com/kubernetes/kubernetes/pull/126150), [@xyz-li](https://github.com/xyz-li)) [SIG API Machinery and Testing]

  xsi:schemaLocation="http://codehaus-plexus.github.io/MODELLO/2.0.0 https://codehaus-plexus.github.io/modello/xsd/modello-2.0.0.xsd"
  xml.namespace="http://maven.apache.org/PLUGIN/${version}"
  xml.schemaLocation="https://maven.apache.org/xsd/plugin-${version}.xsd">
  <id>plugin</id>
  <name>PluginDescriptor</name>
  <description><![CDATA[