/**
     * Checks if a bucket exists in the object storage.
     * @param name the name of the bucket to check
     * @return true if the bucket exists, false otherwise
     * @throws CrawlingAccessException if an error occurs while checking bucket existence
     */
    protected boolean bucketExists(final String name) {
        try {
            final BucketExistsArgs args = BucketExistsArgs.builder().bucket(name).build();

e.dateFormat&&(f=e.dateFormat);var g=a.formUtils.parseDate(c,f);if(!g)return!1;var h=g[0],i=g[1],j=g[2],k=b(h,i,j),l=(d.valAttr("age-range")||"0-124").split("-");if(d.trigger("ageCalculated",[k]),2!==l.length||!a.isNumeric(l[0])||!a.isNumeric(l[1]))throw new Error("Date range format invalid");return k>=l[0]&&k<=l[1]},errorMessage:"",errorMessageKey:"badDate"})}(a)});...

            
            // Start async change notification
            startAsyncNotification(handle);
            
        } catch (Exception e) {
            log.error("Failed to start directory watching for: " + directoryPath, e);
        }
    }
    
    public void stopWatching(String directoryPath) {
        ChangeNotificationHandle handle = activeWatchers.remove(directoryPath);

            doc.put("title", setting.get("title"));
            doc.put("role", "Rguest");
            doc.put("boost", setting.get("boost"));
            //            doc.put("click_count", 100);  // Validation Error
            requestBody.put("doc", doc);

            checkPutMethod(requestBody, getItemEndpointSuffix()).then().body("response.status", equalTo(0));
            refresh();
        }

        checkUpdate();

       * Try adding the CUDA, CUPTI, and cuDNN installation directories to the $LD_LIBRARY_PATH environment variable.
       * Refer [linux setup guide](https://www.tensorflow.org/install/gpu#linux_setup).
     * If error still persists then, apparently your CPU model does not support AVX instruction sets.
       * Refer [hardware requirements](https://www.tensorflow.org/install/pip#hardware-requirements).
   

	for scanner.Scan() {
		f := strings.Fields(scanner.Text())
		if len(f) < 3 {
			continue
		}
		syms[f[2]] = f[0]
	}
	if err := scanner.Err(); err != nil {
		t.Fatalf("error reading symbols: %v", err)
	}
	return syms
}

func runAddr2Line(t *testing.T, dbgExePath, addr string) (funcname, path, lineno string) {
	cmd := testenv.Command(t, testenv.Executable(t), dbgExePath)

     * delayMillisBeforeProcessing parameter.
     *
     * @throws InterruptedRuntimeException if the thread is interrupted during the delay
     * @throws CrawlerSystemException if an error occurs while processing the URL
     */
    @Override
    protected void delayBeforeProcessing() {
        final UrlQueue<?> urlQueue = CrawlingParameterUtil.getUrlQueue();
        if (urlQueue == null) {

     * @param sids the array of SIDs to resolve
     * @param offset the starting offset in the array
     * @param length the number of SIDs to resolve
     * @throws IOException if there is an error resolving the SIDs
     */
    static public void resolveSids(final String authorityServerName, final NtlmPasswordAuthentication auth, SID[] sids, final int offset,
            final int length) throws IOException {

      absentFeatures = (Feature<?>[]) annotationClass.getMethod("absent").invoke(testerAnnotation);
    } catch (Exception e) {
      throw new IllegalArgumentException("Error extracting features from tester annotation.", e);
    }
    Set<Feature<?>> allPresentFeatures = addImpliedFeatures(copyToSet(presentFeatures));
    Set<Feature<?>> allAbsentFeatures = copyToSet(absentFeatures);

    /**
     * Creates a new InvalidAccessTokenException with the specified type and message.
     *
     * @param type the type of the invalid access token
     * @param message the detailed error message
     */
    public InvalidAccessTokenException(final String type, final String message) {
        super(message);
        this.type = type;
    }

    /**