List of cycle() Examples

Examples of cycle()

codechicken.nei.config.OptionCycled.cycle()
com.jitlogic.zorka.core.perfmon.HiccupMeter.cycle()
net.citizensnpcs.questers.quests.progress.QuestProgress.cycle()
org.flexunit.ant.launcher.commands.headless.XvncStartCommand.cycle()
ptolemy.graph.analysis.analyzer.CycleMeanAnalyzer.cycle()
Return the nodes on the cycle that corresponds to the maximum/minimum cycle mean as an ordered list. If there is more than one cycle with the same maximal/minimal cycle, one of them is returned randomly, but the same cycle is returned by different invocations of the method, unless the graph changes. @return The nodes on the cycle that corresponds to one of themaximum/minimum cycle means as an ordered list.

Examples of net.citizensnpcs.questers.quests.progress.QuestProgress.cycle()

            if (incrementEvent.isCancelled())
                return;
            progress.updateProgress(player, event);
            if (progress.isStepCompleted()) {
                progress.onStepCompletion();
                progress.cycle();
            }
        }
    }


    public static boolean isValidQuest(String quest) {

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Examples of org.flexunit.ant.launcher.commands.headless.XvncStartCommand.cycle()

      {
         LoggingUtil.log("Cannot start xnvc on :" + xvncStart.getCurrentDisplay() + ", cycling ...");
         
         try
         {
            xvncStart.cycle();
         }
         catch (XvncException xe) {
            throw new IOException(xe);
         }
      }

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Examples of org.flexunit.ant.launcher.commands.headless.XvncStartCommand.cycle()

      {
         LoggingUtil.log("Cannot start xnvc on :" + xvncStart.getCurrentDisplay() + ", cycling ...");
         
         try
         {
            xvncStart.cycle();
         }
         catch (XvncException xe) {
            throw new IOException(xe);
         }
      }

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Examples of ptolemy.graph.analysis.analyzer.CycleMeanAnalyzer.cycle()

     */
    private double _computeMCM(DirectedGraph graph, ToDoubleMapping edgeLength) {
        CycleMeanAnalyzer cycleMean = new KarpCycleMeanStrategy(graph,
                edgeLength);
        double result = cycleMean.maximumCycleMean();
        _delayCycle = cycleMean.cycle();
        return result;
    }


    // computes the First Order Longest Path Matrix which is a matrix
    // of longest distances from every node to every other node indexed

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