on the same machine by simply switching the value of `HERMETIC_PYTHON_VERSION`
between the runs. All the python-agnostic parts of the build cache from the
previous build will be preserved and reused for the subsequent builds.

### Specifying Python dependencies

During bazel build all TensorFlow's Python dependencies are pinned to their
specific versions. This is necessary to ensure reproducibility of the build.

The Gradle codebase has evolved over time and has a mixture of simple getter/setter methods, Provider API and things in between.  It can be hard to follow best practices because Gradle provided types are reused in unexpected ways and extended by third party plugins.

Given these constraints, we cannot always follow best practices.  This ADR proposes the way we should handle the use of Provider APIs in the gradle/gradle codebase.

		regUsersLoadStartTime := UTCNow()
		regUsersList := listedConfigItems[usersListKey]

		for {
			if len(regUsersList) < count {
				users, err := iamOS.loadUserConcurrent(ctx, regUser, regUsersList...)
				if err != nil {
					return err
				}
				for index := range regUsersList {
					if users[index].Credentials.AccessKey != "" {
						userName := path.Dir(regUsersList[index])

package cmd

import "context"

const (
	configRRSParity      = "rrs_parity"
	configStandardParity = "standard_parity"
)

var (
	configRRSParityMD = NewGaugeMD(configRRSParity,
		"Reduced redundancy storage class parity")
	configStandardParityMD = NewGaugeMD(configStandardParity,
		"Standard storage class parity")
)

// loadClusterConfigMetrics - `MetricsLoaderFn` for cluster config

// Handlers can use this to create a reusable response.
// The response may be reused, so caller should clear any fields.
func (h *SingleHandler[Req, Resp]) NewResponse() Resp {
	return h.newResp()
}

// NewRequest creates a new request.
// Handlers can use this to create a reusable request.
// The request may be reused, so caller should clear any fields.
func (h *SingleHandler[Req, Resp]) NewRequest() Req {

			Optional:    true,
			Type:        "string",
		},
		config.HelpKV{
			Key:         ClassRRS,
			Description: `set the parity count for reduced redundancy storage class` + defaultHelpPostfix(ClassRRS),
			Optional:    true,
			Type:        "string",
		},
		config.HelpKV{
			Key:         Optimize,

 * {@link org.apache.maven.model.building.ModelBuilder} will add any relevant repositories to the model resolver. In
 * other words, the model resolver is stateful and should not be reused across multiple model building requests.
 *
 * @deprecated use {@code org.apache.maven.api.services.ModelBuilder} instead
 */
@Deprecated(since = "4.0.0")
public interface ModelResolver {

    /**

   *
   * <p>CharStreams.copy was failing to clear its CharBuffer after each read call, which effectively
   * reduced the available size of the buffer each time a call to read didn't fill up the available
   * space in the buffer completely. In general this is a performance problem since the buffer size
   * is permanently reduced, but with certain Reader implementations it could also cause the buffer
   * size to reach 0, causing an infinite loop.

   *
   * <p>CharStreams.copy was failing to clear its CharBuffer after each read call, which effectively
   * reduced the available size of the buffer each time a call to read didn't fill up the available
   * space in the buffer completely. In general this is a performance problem since the buffer size
   * is permanently reduced, but with certain Reader implementations it could also cause the buffer
   * size to reach 0, causing an infinite loop.

### Other notable changes

* change default azure file/dir mode to 0755 ([#56551](https://github.com/kubernetes/kubernetes/pull/56551), [@andyzhangx](https://github.com/andyzhangx))
* Retry 'connection refused' errors when setting up clusters on GCE. ([#57394](https://github.com/kubernetes/kubernetes/pull/57394), [@mborsz](https://github.com/mborsz))