/**
 * Represents a toolchain in the Maven build system.
 *
 * <p>A toolchain is a set of tools that can be used to build a project.
 * This interface allows users to define and configure various toolchains
 * that can be utilized by Maven during the build process. Toolchains can
 * include compilers, interpreters, and other tools that are necessary
 * for building a project in a specific environment.</p>
 *

interface FlowControlListener {
  /**
   * Notification that the receiving stream flow control window has changed.
   * [WindowCounter] generally carries the client view of total and acked bytes.
   */
  fun receivingStreamWindowChanged(
    streamId: Int,
    windowCounter: WindowCounter,
    bufferSize: Long,
  )

  /**
   * Notification that the receiving connection flow control window has changed.

// Note that false does not mean there is no inline data,
// only that it is unlikely.
func (x xlMetaV2VersionHeader) InlineData() bool {
	return x.Flags&xlFlagInlineData != 0
}

// signatureErr is a signature returned when an error occurs.
var signatureErr = [4]byte{'e', 'r', 'r', 0}

// getSignature will return a signature that is expected to be the same across all disks.

import java.util.concurrent.BlockingQueue
import java.util.concurrent.LinkedBlockingQueue
import java.util.logging.Logger
import okhttp3.ExperimentalOkHttpApi

/**
 * Default dispatcher that processes a script of responses. Populate the script by calling [enqueueResponse].
 */
@ExperimentalOkHttpApi
open class QueueDispatcher : Dispatcher() {

    return typeVariable.hashCode();
  }

  @Override
  public final boolean equals(@CheckForNull Object o) {
    if (o instanceof TypeParameter) {
      TypeParameter<?> that = (TypeParameter<?>) o;
      return typeVariable.equals(that.typeVariable);
    }
    return false;
  }

  @Override
  public String toString() {
    return typeVariable.toString();
  }

        etc.) may break.
    *   Code that uses full path for `get_concrete_function` to trace Keras
        symbolic inputs directly should switch to building matching
        `tf.TensorSpec`s directly and tracing the `TensorSpec` objects.
    *   Code that relies on the exact number and names of the op layers that
        TensorFlow operations were converted into may have changed.

secret with private.key and public.crt files and pass that here. Ref: https://github.com/minio/minio/tree/master/docs/tls/kubernetes#2-create-kubernetes-secret certSecret: "" publicCrt: public.crt privateKey: private.key ## Trusted Certificates Settings for MinIO. Ref: https://docs.minio.io/docs/how-to-secure-access-to-minio-server-with-tls#install-certificates-from-third-party-cas ## Bundle multiple trusted certificates into one secret and pass that here. Ref: https://github.com/minio/minio/tree/ma...

  private Collections2() {}

  /**
   * Returns the elements of {@code unfiltered} that satisfy a predicate. The returned collection is
   * a live view of {@code unfiltered}; changes to one affect the other.
   *
   * <p>The resulting collection's iterator does not support {@code remove()}, but all other
   * collection methods are supported. When given an element that doesn't satisfy the predicate, the

Traditionally, the Kubernetes scheduler was based on the assumptions that additional persistent storage is available everywhere in the cluster and has infinite capacity. Topology constraints addressed the first point, but up to now pod scheduling was still done without considering that the remaining storage capacity may not be enough to start a new pod. [Storage capacity tracking](https://docs.k8s.io/concepts/storage/storage-capacity/) addresses that by adding an API for a CSI driver to report storage capacity...

  // TODO(b/113217601): This is needed for EagerContext::runner_ to use a
  // threadpool, so that we avoid the possibility of running the runner_ in the
  // threadpool of GPU event mgr, as that can trigger more callbacks to be
  // scheduled on that same threadpool, causing a deadlock in cases where the
  // caller of event_mgr->ThenExecute() blocks on the completion of the callback