rng := rand.New(rand.NewSource(time.Now().UnixNano()))
					n := 0
					var latency int64
					managers := grid.Managers
					hosts := grid.Hosts
					for pb.Next() {
						// Pick a random manager.
						src, dst := rng.Intn(len(managers)), rng.Intn(len(managers))
						if src == dst {
							dst = (dst + 1) % len(managers)
						}
						local := managers[src]

      ?: throw TestAbortedException()

    serverIpv4 = MockWebServer()
    serverIpv4.start(localhostIpv4, 0) // Pick any available port.

    serverIpv6 = MockWebServer()
    serverIpv6.start(localhostIpv6, serverIpv4.port) // Pick the same port as the IPv4 server.

    dnsResults =
      listOf(
        localhostIpv4,
        localhostIpv6,
      )

    client =

//     createdAfter: "date" # match objects created after "date"
//     createdBefore: "date" # match objects created before "date"
//     tags:
//       - key: "name"
//         value: "pick*" # match objects with tag 'name', with all values starting with 'pick'
//     metadata:
//       - key: "content-type"
//         value: "image/*" # match objects with 'content-type', with all values starting with 'image/'

		// array second dimension represents list of disks used per set.
		Sets [][]string `json:"sets"`
		// Distribution algorithm represents the hashing algorithm
		// to pick the right set index for an object.
		DistributionAlgo string `json:"distributionAlgo"`
	} `json:"xl"`
}

  private var limit = -1L

  /** Type hints scoped to the call stack, manipulated with [withTypeHint]. */
  private val typeHintStack = mutableListOf<Any?>()

  /**
   * The type hint for the current object. Used to pick adapters based on other fields, such as
   * in extensions which have different types depending on their extension ID.
   */
  var typeHint: Any?
    get() = typeHintStack.lastOrNull()
    set(value) {

//       createdBefore: "2006-01-02T15:04:05.00Z" # match objects created before "date"
//       tags:
//         - key: name
//           value: pick* # match objects with tag 'name', all values starting with 'pick'
//       metadata:
//         - key: content-type
//           value: image/* # match objects with 'content-type', all values starting with 'image/'
//       size:

apply fixes to bugs or security vulnerabilities:

*   Clone the TensorFlow repo and switch to the corresponding branch for your
    desired TensorFlow version, for example, branch `r2.8` for version 2.8.
*   Apply (that is, cherry-pick) the desired changes and resolve any code
    conflicts.
*   Run TensorFlow tests and ensure they pass.
*   [Build](https://www.tensorflow.org/install/source) the TensorFlow pip
    package from source.

  // Leave `manualSelector` unset unless you are certain what you are doing.
  // When false or unset, the system pick labels unique to this job
  // and appends those labels to the pod template.  When true,
  // the user is responsible for picking unique labels and specifying
  // the selector.  Failure to pick a unique label may cause this
  // and other jobs to not function correctly.  However, You may see

   * cost as fresh ones (1/QPS is the cost for each). We use this trick later.
   *
   * If we pick a function that goes /below/ that horizontal line, it means that we reduce the area
   * of the function, thus time. Thus, the RateLimiter becomes /faster/ after a period of
   * underutilization. If, on the other hand, we pick a function that goes /above/ that horizontal

      // We use the bootstrap class loader as the parent because Finalizer by design uses
      // only standard Java classes. That also means that FinalizableReferenceQueueTest
      // doesn't pick up the wrong version of the Finalizer class.
      return new URLClassLoader(new URL[] {base}, null);
    }
  }

  /**
   * Loads Finalizer directly using the current class loader. We won't be able to garbage collect