streamId: Int,
  ) {
    val w1 = source.readInt()
    val exclusive = w1 and 0x80000000.toInt() != 0
    val streamDependency = w1 and 0x7fffffff
    val weight = (source.readByte() and 0xff) + 1
    handler.priority(streamId, streamDependency, weight, exclusive)
  }

  @Throws(IOException::class)
  private fun readRstStream(
    handler: Handler,
    length: Int,
    flags: Int,
    streamId: Int,

  }

  override fun windowUpdate(
    streamId: Int,
    windowSizeIncrement: Long,
  ) {
    fail("")
  }

  override fun priority(
    streamId: Int,
    streamDependency: Int,
    weight: Int,
    exclusive: Boolean,
  ) {
    fail("")
  }

  override fun pushPromise(
    streamId: Int,
    associatedStreamId: Int,
    headerBlock: List<Header>,
  ) {
    fail("")
  }

  @Override
  public void write(char[] cbuf, int off, int len) throws IOException {
    checkNotClosed();
    // It turns out that creating a new String is usually as fast, or faster
    // than wrapping cbuf in a light-weight CharSequence.
    target.append(new String(cbuf, off, len));
  }

  /*
   * Override a few functions for performance reasons to avoid creating unnecessary strings.
   */

  @Override

// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package bandwidth

import (
	"sync"
	"sync/atomic"
	"time"
)

const (
	// betaBucket is the weight used to calculate exponential moving average
	betaBucket = 0.1 // Number of averages considered = 1/(1-betaObject)
)

// bucketMeasurement captures the bandwidth details for one bucket
type bucketMeasurement struct {

	<key>rules</key>
	<dict>
		<key>.*</key>
		<true/>
		<key>Info.plist</key>
		<dict>
			<key>omit</key>
			<true/>
			<key>weight</key>
			<integer>10</integer>
		</dict>
		<key>ResourceRules.plist</key>
		<dict>
			<key>omit</key>
			<true/>
			<key>weight</key>
			<integer>100</integer>
		</dict>
	</dict>
</dict>
</plist>

        a full-time Guava team member. [Feedback](https://stackoverflow.com/a/4543114) from our
        users indicates that they really appreciate Guava's high power-to-weight ratio. It's
        important to us to keep Guava as easy to use and understand as we can. That means boiling
        features down to compact but powerful abstractions, and controlling feature bloat carefully.

        a full-time Guava team member. [Feedback](https://stackoverflow.com/a/4543114) from our
        users indicates that they really appreciate Guava's high power-to-weight ratio. It's
        important to us to keep Guava as easy to use and understand as we can. That means boiling
        features down to compact but powerful abstractions, and controlling feature bloat carefully.

    frame.writeInt(0) // Independent stream.
    frame.writeByte(255) // Heaviest weight, zero-indexed.
    frame.writeAll(headerBytes)
    reader.nextFrame(
      requireSettings = false,
      object : BaseTestHandler() {
        override fun priority(
          streamId: Int,
          streamDependency: Int,
          weight: Int,
          exclusive: Boolean,
        ) {

      this.streamId = streamId
      this.windowSizeIncrement = windowSizeIncrement
    }

    override fun priority(
      streamId: Int,
      streamDependency: Int,
      weight: Int,
      exclusive: Boolean,
    ): Unit = throw UnsupportedOperationException()

    override fun pushPromise(
      streamId: Int,
      associatedStreamId: Int,
      headerBlock: List<Header>,

    TF_Status* status);
// Get the number of dimension of a variable
TF_CAPI_EXPORT extern int TF_CheckpointReaderGetVariableNumDims(
    TF_CheckpointReader* reader, const char* name);
// Load the weight of a variable
TF_CAPI_EXPORT extern TF_Tensor* TF_CheckpointReaderGetTensor(
    TF_CheckpointReader* reader, const char* name, TF_Status* status);

// TF_NewAttrBuilder() returns an object that you can set attributes on as