# CuDNN: https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html#ubuntu-network-installation
libcudnn9-dev-cuda-12=9.1.1.17-1
libcudnn9-cuda-12=9.1.1.17-1

# This can be removed once NVIDIA publishes a cuda-12.3.2 Docker image.
# For now it ensures that we install at least version 12.3.107 of PTXAS,
# since 12.3.103 has a bug.

=== ":material-language-kotlin: Kotlin"
    ```kotlin
      private val client: OkHttpClient = OkHttpClient.Builder()
          .cache(Cache(

const (
	// Install
	MountedCNINetDir         = "mounted-cni-net-dir"
	CNIConfName              = "cni-conf-name"
	ChainedCNIPlugin         = "chained-cni-plugin"
	CNINetworkConfigFile     = "cni-network-config-file"
	CNINetworkConfig         = "cni-network-config"
	LogLevel                 = "log-level"
	KubeconfigMode           = "kubeconfig-mode"
	KubeCAFile               = "kube-ca-file"
	SkipTLSVerify            = "skip-tls-verify"

		// Pod explicitly asked to not have ambient redirection enabled
		return false
	}
	if pod.Spec.HostNetwork {
		// Host network pods cannot be captured, as we require inserting rules into the pod network namespace.
		// If we were to allow them, we would be writing these rules into the host network namespace, effectively breaking the host.
		return false
	}
	return true
}

 *
 * @throws IOException if a network error occurs
 */

    public void close() throws IOException {
        try {
            file.close();
            tmp = null;
        } catch (SmbException se) {
            throw seToIoe(se);
        }
    }

/**
 * Reads a byte of data from this input stream.
 *
 * @throws IOException if a network error occurs
 */

  }

  /**
   * Invoked when a response will be served from the network. The Response will be
   * available from normal event sequences.
   *
   * This event will only be received when a Cache is configured for the client.
   */
  open fun cacheMiss(call: Call) {
  }

  /**
   * Invoked when a response will be served from the cache or network based on validating the

 * }</pre>
 *
 * you will invoke it depending on the graph representation you're using.
 *
 * <p>If you have an instance of one of the primary {@code common.graph} types ({@link Graph},
 * {@link ValueGraph}, and {@link Network}):
 *
 * <pre>{@code
 * someGraphAlgorithm(startNode, graph);
 * }</pre>
 *
 * This works because those types each implement {@code PredecessorsFunction}. It will also work

	delta := globalSiteNetPerfRX.firstToDisconnect.Sub(globalSiteNetPerfRX.lastToConnect)
	// If the first disconnected before the last connected, we likely had a network issue.
	if delta <= 0 {
		rx = 0
		errStr = "detected network disconnections, possibly an unstable network"
	}

	globalSiteNetPerfRX.Reset()
	return madmin.SiteNetPerfNodeResult{
		Endpoint:        "",
		TX:              r.n,
		TXTotalDuration: duration,

    }


    /**
     * Closes this output stream and releases any system resources associated
     * with it.
     *
     * @throws IOException
     *             if a network error occurs
     */

    @Override
    public void close () throws IOException {
        try {
            if ( this.handle.isValid() ) {
                this.handle.close();
            }
        }

	route "github.com/envoyproxy/go-control-plane/envoy/config/route/v3"
	hcm "github.com/envoyproxy/go-control-plane/envoy/extensions/filters/network/http_connection_manager/v3"
	tcp "github.com/envoyproxy/go-control-plane/envoy/extensions/filters/network/tcp_proxy/v3"
	"sigs.k8s.io/yaml"

	"istio.io/istio/istioctl/pkg/util/proto"
	"istio.io/istio/pilot/pkg/networking/util"
	"istio.io/istio/pilot/pkg/util/protoconv"