derivedSuites.add(createSubMultisetSuite(parentBuilder, Bound.NO_BOUND, Bound.EXCLUSIVE));
      derivedSuites.add(createSubMultisetSuite(parentBuilder, Bound.NO_BOUND, Bound.INCLUSIVE));
      derivedSuites.add(createSubMultisetSuite(parentBuilder, Bound.EXCLUSIVE, Bound.NO_BOUND));
      derivedSuites.add(createSubMultisetSuite(parentBuilder, Bound.EXCLUSIVE, Bound.EXCLUSIVE));

        // Note: isRetriable() method does not exist in SmbException
        assertNotNull(accessDenied);

        SmbException notFound = new SmbException(NtStatus.NT_STATUS_OBJECT_NAME_NOT_FOUND, false);
        assertNotNull(notFound);

        // Test potentially retriable errors
        SmbException sharingViolation = new SmbException(NtStatus.NT_STATUS_SHARING_VIOLATION, false);

        void testUnknownExtension() throws IOException {
            assertEquals("application/octet-stream", mimeMap.getMimeType("unknownext"));
            assertEquals("application/octet-stream", mimeMap.getMimeType("notfound"));
            assertEquals("application/octet-stream", mimeMap.getMimeType("doesnotexist"));
        }

        @Test
        @DisplayName("Should handle case insensitive extensions")

// If no files were found false will be returned.
func isObjectDirDangling(errs []error) (ok bool) {
	var found int
	var notFound int
	var foundNotEmpty int
	var otherFound int
	for _, readErr := range errs {
		switch readErr {
		case nil:
			found++
		case errFileNotFound, errVolumeNotFound:
			notFound++
		case errVolumeNotEmpty:
			foundNotEmpty++
		default:
			otherFound++
		}
	}

        assertEquals("/error/badRequest.jsp", FessHtmlPath.path_Error_BadRequestJsp.getRoutingPath());
        assertEquals("/error/error.jsp", FessHtmlPath.path_Error_ErrorJsp.getRoutingPath());
        assertEquals("/error/notFound.jsp", FessHtmlPath.path_Error_NotFoundJsp.getRoutingPath());
        assertEquals("/error/redirect.jsp", FessHtmlPath.path_Error_RedirectJsp.getRoutingPath());

    return nullptr;
  }

  const tensorflow::OpDef_ArgDef& input_arg = op_def->input_arg()[input_index];

  if (input_arg.number_attr().empty()) {
    status->status = tensorflow::errors::NotFound(
        op_name, " does not have number_attr() defined.");
    return nullptr;
  }

  // The returned string is owned by OpRegistry, so liveness is not a concern.
  return input_arg.number_attr().c_str();
}