private val maskCursor: Buffer.UnsafeCursor? = if (isClient) Buffer.UnsafeCursor() else null

  /** Send a ping with the supplied [payload]. */
  @Throws(IOException::class)
  fun writePing(payload: ByteString) {
    writeControlFrame(OPCODE_CONTROL_PING, payload)
  }

  /** Send a pong with the supplied [payload]. */
  @Throws(IOException::class)
  fun writePong(payload: ByteString) {

    c) You must cause the whole of the work to be licensed at no
    charge to all third parties under the terms of this License.

    d) If a facility in the modified Library refers to a function or a
    table of data to be supplied by an application program that uses
    the facility, other than as an argument passed when the facility
    is invoked, then you must make a good faith effort to ensure that,

   * may access this source.
   */
  var upstream: Source?,
  /** The number of bytes consumed from [upstream]. Guarded by this. */
  var upstreamPos: Long,
  /** User-supplied additional data persisted with the source data. */
  private val metadata: ByteString,
  /** The maximum size of [buffer]. */
  val bufferMaxSize: Long,
) {

the MojoExecution. The actual DOM like structure we create is of type PlexusConfiguration and is the type we use with the ComponentConfigurator to initialize fields in a Plexus component. Typically this is done within Plexus with the configuration supplied with component configuration, but in Maven we take configuration values from the POM. So we have to use the ComponentConfigurator outside of Plexus in order to configure the Maven Mojo which is just a Plexus component. We can use the information...

    /**
     * The media-type multipart/form-data follows the rules of all multipart MIME data streams as
     * outlined in RFC 2046. In forms, there are a series of fields to be supplied by the user who
     * fills out the form. Each field has a name. Within a given form, the names are unique.
     */
    @JvmField
    val FORM = "multipart/form-data".toMediaType()

## Supported Versions

Security updates are applied to the latest feature release (1.x) of the compiler, standard library, and build plugins.

A fix will be shipped with the next incremental (1.x.y) or bug fix release (1.x.yz).

All fixes are also applied to the master branch to be included in all upcoming releases.

## Reporting a Vulnerability

- Enhanced cloud provider integrations to support optional, per-Node custom labels that can be supplied and applied to Nodes by the node controller. These extra labels will only be applied where the cloud provider integration supports this feature.
   ([#123223](https://github.com/kubernetes/kubernetes/pull/123223), [@mmerkes](https://github.com/mmerkes))

A default retention period and retention mode can be configured on a bucket to be applied to objects created in that bucket. Independent of retention, an object can also be under legal hold. This effectively disallows all deletes of an object under legal hold until the legal hold is removed by an API call.

## Get Started

TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_arm64
# Note: this is not set to "--cpu", because that changes the package name
# to tensorflow_cpu. These ARM builds are supposed to have the name "tensorflow"
# despite lacking Nvidia CUDA support.
TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow"
TFCI_DOCKER_ENABLE=1
TFCI_DOCKER_IMAGE=gcr.io/tensorflow-sigs/build-arm64:tf-2-16-multi-python

these fields are applied and merged with the output of this step. The result of this step is a merge of configuration
profile defaults and user overlays, all expressed in Helm values.yaml format. This final values.yaml configuration
is passed to the Helm rendering library and used to render the charts. The rendered manifests are passed to the next
step.