MOV	$0, 0(SP)			// ERROR "constant load must target register"
	MOV	$0, 8(SP)			// ERROR "constant load must target register"
	MOV	$1234, 0(SP)			// ERROR "constant load must target register"
	MOV	$1234, 8(SP)			// ERROR "constant load must target register"
	MOVB	$1, X5				// ERROR "unsupported constant load"
	MOVH	$1, X5				// ERROR "unsupported constant load"
	MOVW	$1, X5				// ERROR "unsupported constant load"

set maven.installation.conf default ${maven.conf}

[plexus.core]
load       ${maven.conf}/logging
optionally ${maven.home}/lib/ext/redisson/*.jar
optionally ${maven.home}/lib/ext/hazelcast/*.jar
optionally ${user.home}/.m2/ext/*.jar
optionally ${maven.home}/lib/ext/*.jar
load       ${maven.home}/lib/maven-*.jar

		cpuNice:           "CPU nice time",
		cpuLoad1:          "CPU load average 1min",
		cpuLoad5:          "CPU load average 5min",
		cpuLoad15:         "CPU load average 15min",
		cpuLoad1Perc:      "CPU load average 1min (perentage)",
		cpuLoad5Perc:      "CPU load average 5min (percentage)",
		cpuLoad15Perc:     "CPU load average 15min (percentage)",
	}
	resourceMetricsGroups = []*MetricsGroupV2{

	// Run the site resync metrics load in a loop
	for {
		if err := sm.load(ctx, newObjectLayerFn()); err == nil {
			<-ctx.Done()
			return
		}
		duration := max(time.Duration(r.Float64()*float64(time.Second*10)),
			// Make sure to sleep at least a second to avoid high CPU ticks.
			time.Second)
		time.Sleep(duration)
	}
}

// load resync metrics saved on disk into memory

        CommonPoolUtil.execute(this::load);
    }

    /**
     * Wait for the next reloading.
     */
    protected void waitForNext() {
        if (reloadInterval > 0) {
            ThreadUtil.sleep(reloadInterval);
        }
    }

    /**
     * Load the configuration.
     * @return The number of loaded configurations.
     */
    public abstract int load();

    /**

# lazy loading.
_current_module.compat.v2  # pylint: disable=pointless-statement

# Load tensorflow-io-gcs-filesystem if enabled
if (_os.getenv("TF_USE_MODULAR_FILESYSTEM", "0") == "true" or
    _os.getenv("TF_USE_MODULAR_FILESYSTEM", "0") == "1"):
  import tensorflow_io_gcs_filesystem as _tensorflow_io_gcs_filesystem

# Lazy-load Keras v1.
_tf_uses_legacy_keras = (

        try {
            Files.createDirectories(stateDirectory);
        } catch (IOException e) {
            log.error("Failed to create handle state directory: " + stateDirectory, e);
        }

        // Load persisted handles on startup
        loadPersistedHandles();

        // Schedule periodic persistence and cleanup
        scheduler.scheduleAtFixedRate(this::periodicMaintenance, 30, 30, TimeUnit.SECONDS);
    }

You could load it at the top level of the module/file, but that would also mean that it would **load the model** even if you are just running a simple automated test, then that test would be **slow** because it would have to wait for the model to load before being able to run an independent part of the code.

     */
    public synchronized void register(final String regex, final String componentName) {
        clientMap.put(regex, componentName);
        clientFactoryList.forEach(f -> load(f, regex, componentName));
    }

    /**
     * Loads a crawler client into the specified crawler client factory.
     *
     * @param crawlerClientFactory the factory to which the client will be added

    private static final long serialVersionUID = 1L;

    /**
     * Default initial capacity.
     */
    protected static final int DEFAULT_INITIAL_CAPACITY = 16;

    /**
     * Default load factor.
     */
    protected static final float DEFAULT_LOAD_FACTOR = 0.75f;

    /**
     * Upper limit on the number of entries.
     */
    protected final int limitSize;

    /**