// without declaring an explicit or implicit dependency. This can lead to incorrect results being produced, depending on what order the tasks are executed.
        tasks.named("publishGradleDistributionPublicationToRemoteRepository") {
            dependsOn("signLocalPublication")
        }
        tasks.named("publishLocalPublicationToLocalRepository") {

programs that TensorFlow executes. TensorFlow programs are encoded as
computation
[**graphs**](https://developers.google.com/machine-learning/glossary/#graph).
Since models are practically programs that TensorFlow executes, using untrusted
models or graphs is equivalent to running untrusted code.

If you need to run untrusted models, execute them inside a

struct LoggingDevice {
  tensorflow::string device_name;
  tensorflow::string underlying_device;
  // Set to true whenever a TensorHandle is copied onto the device
  bool* arrived_flag;
  // Set to true whenever an operation is executed
  bool* executed_flag;
  // If true, only explicit op placements are accepted. If false, uses
  // type-based dispatch.
  bool strict_scope_placement;
};

struct LoggedTensor {
  TFE_TensorHandle* tensor;

    }
  }

  public void testVerifyGetsCalled() {
    TesterThatCountsCalls tester = new TesterThatCountsCalls();

    tester.test();

    assertEquals(
        "Should have verified once per stimulus executed",
        tester.numCallsToVerify,
        tester.numCallsToNewTargetIterator * STEPS);
  }

  public void testVerifyCanThrowAssertionThatFailsTest() {

// a map (`tensorflow::eager::TensorTape`) from the wrapped tensor to the id of
// the op that produced it (or -1 if this tensor was watched using
// `GradientTape::Watch`.) The op_id is simply a unique index assigned to each
// op executed under the tape. A separate map (`tensorflow::eager::OpTape`)
// maintains the map from `op_id` to a `OpTapeEntry` which stores the `op_type`,
// inputs and outputs and the gradient function These data structures combined

 *
 * All event methods must execute fast, without external locking, cannot throw exceptions, attempt
 * to mutate the event parameters, or be re-entrant back into the client. Any IO - writing to files
 * or network should be done asynchronously.
 */
abstract class EventListener {
  /**
   * Invoked as soon as a call is enqueued or executed by a client. In case of thread or stream

    logger.log(logLevel, message, t)
  }

  open fun isCleartextTrafficPermitted(hostname: String): Boolean = true

  /**
   * Returns an object that holds a stack trace created at the moment this method is executed. This
   * should be used specifically for [java.io.Closeable] objects and in conjunction with
   * [logCloseableLeak].
   */
  open fun getStackTraceForCloseable(closer: String): Any? {
    return when {

//     Vendors might change the settings based on the configuration and scale out of the solution (more storage nodes =>
//     higher task limit).
//
//     <S3ConcurrentTaskLimit>
//
//   - Defines how many S3 operations are executed parallel within one Repository Task Slot (and within one backup object
//     that gets offloaded). The same registry key setting overwrites the storage-defined setting.
//     Optional value, default 64, range: 1-unlimited
//

			}
			if rule.ExistingObjectReplication.Status == Enabled {
				return true, true
			}
		}
	}
	return hasARN, false
}

// FilterActionableRules returns the rules actions that need to be executed
// after evaluating prefix/tag filtering
func (c Config) FilterActionableRules(obj ObjectOpts) []Rule {
	if obj.Name == "" && !(obj.OpType == ResyncReplicationType || obj.OpType == AllReplicationType) {
		return nil
	}

    #   [true]
    #     The customize entities for procedure's out-parameter
    #     and not-param-result are auto-generated.
    #     And also not-param-result's properties are auto-generated.
    #     Target procedures are executed actually at Sql2Entity task.
    #     (because of getting from execution meta data (result set meta data))
    #     This property is valid only when isGenerateProcedureParameterBean is true.
    #