* }</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 SuccessorsFunction}. It will also work with

{
  "cniVersion": "0.3.1",
  "name": "k8s-pod-network",
  "plugins": [
    {
      "etcd_endpoints": "http://10.110.0.136:6666",
      "ipam": {
        "type": "calico-ipam"
      },
      "kubernetes": {
        "kubeconfig": "/etc/cni/net.d/calico-kubeconfig"
      },
      "mtu": 1500,
      "plugin_log_level": "info",
      "policy": {
        "type": "k8s"
      },
      "type": "calico"
    },
    {

{
  "cniVersion": "0.3.1",
  "name": "k8s-pod-network",
  "plugins": [
    {
      "bridge": "cni0",
      "dns": {
        "nameservers": [
          "10.1.0.1"
        ]
      },
      "ipam": {
        "gateway": "10.1.0.1",
        "subnet": "10.1.0.0/16",
        "type": "host-local"
      },
      "name": "dbnet",
      "type": "bridge"
    },
    {
      "ambient_enabled": false,

    private set
  private var timeoutEarlyExit = false

  /**
   * This is the same value as [exchange], but scoped to the execution of the network interceptors.
   * The [exchange] field is assigned to null when its streams end, which may be before or after the
   * network interceptors return.
   */
  internal var interceptorScopedExchange: Exchange? = null
    private set

# Quite a few memory map
# areas may be consumed
vm.max_map_count=524288

# Default is 500000 = 0.5ms
kernel.sched_migration_cost_ns=5000000

# stalled hdd io threads
kernel.hung_task_timeout_secs=85

# network tuning for bigger throughput
net.core.netdev_max_backlog=250000
net.core.somaxconn=16384
net.ipv4.tcp_syncookies=0
net.ipv4.tcp_max_syn_backlog=16384
net.core.wmem_max=4194304
net.core.rmem_max=4194304

{
  "cniVersion": "0.3.1",
  "name": "k8s-pod-network",
  "plugins": [
    {
      "addIf": "true",
      "bridge": "mybridge",
      "ipMasq": true,
      "ipam": {
        "gateway": "10.1.0.1",
        "routes": [
          {
            "dst": "0.0.0.0/0"
          }
        ],
        "subnet": "10.1.0.0/16",
        "type": "host-local"
      },
      "isGateway": true,
      "mtu": 1460,

 * with it.
 *
 * @throws IOException if a network error occurs
 */

    public void close() throws IOException {
        file.close();
        tmp = null;
    }

/**
 * Writes the specified byte to this file output stream.
 *
 * @throws IOException if a network error occurs
 */

    public void write( int b ) throws IOException {

# 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.

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"

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