private static final double TIMING_TOLERANCE = 2.0; // 200% tolerance - JVM timing is inherently variable for timing variations

    @BeforeEach
    public void setUp() {
        // Warm up JVM to reduce JIT compilation effects
        for (int i = 0; i < 100; i++) {
            NtlmPasswordAuthenticator auth1 = new NtlmPasswordAuthenticator("testdomain", "testuser", "password123");

                .filter(q -> StringUtil.isNotBlank(q) && q.length() <= maxQueryLength)
                .forEach(oq -> split(oq, " ")
                        .get(s -> s.filter(StringUtil::isNotBlank).reduce((q1, q2) -> escape(q1, "(", ")") + OR + escape(q2, "(", ")")))
                        .ifPresent(q -> {
                            appendQuery(queryBuf, q);
                        })));

	onlineDisks = make([]StorageAPI, len(disks))

	// List all the file commit ids from parts metadata.
	modTimes := listObjectModtimes(partsMetadata, errs)

	// Reduce list of UUIDs to a single common value.
	modTime = commonTime(modTimes, quorum)

	if modTime.IsZero() || modTime.Equal(timeSentinel) {
		etags := listObjectETags(partsMetadata, errs, quorum)

		// a row, then make sure we print it to call attention.
		if m[err.Error()] > 2 {
			peersLogAlwaysIf(ctx, fmt.Errorf("Following error has been printed %d times.. %w", m[err.Error()], err))
			// Reduce the count to introduce further delay in printing
			// but let it again print after the 2th attempt
			m[err.Error()]--
			m[err.Error()]--
		}
		m[err.Error()]++
	}
}()

 * a traditional {@code HashMap} implementation which stores keys and count values as map entries,
 * {@code ObjectCountHashMap} minimizes object allocation and reduces memory footprint.
 *
 * <p>In the absence of element deletions, this will iterate over elements in insertion order.
 */
@GwtCompatible
@NullMarked
class ObjectCountHashMap<K extends @Nullable Object> {

pkg math/big, method (*Int) FillBytes([]uint8) []uint8
pkg net, method (*Resolver) LookupIP(context.Context, string, string) ([]IP, error)
pkg net/url, method (*URL) EscapedFragment() string
pkg net/url, method (*URL) Redacted() string
pkg net/url, type URL struct, RawFragment string
pkg os, method (*File) ReadFrom(io.Reader) (int64, error)
pkg os, var ErrDeadlineExceeded error
pkg regexp, method (*Regexp) SubexpIndex(string) int

 *      <td>configurator</td>
 *      <td>configurator = "&lt;role-hint&gt;"</td>
 *      <td>No</td>
 *      <td>The configurator type to use when injecting parameter values into this Mojo. The value is normally
 *          deduced from the Mojo's implementation language, but can be specified to allow a custom
 *          ComponentConfigurator implementation to be used.
 *          <br>

* **Fast to code**: Increase the speed to develop features by about 200% to 300%. *
* **Fewer bugs**: Reduce about 40% of human (developer) induced errors. *
* **Intuitive**: Great editor support. <abbr title="also known as auto-complete, autocompletion, IntelliSense">Completion</abbr> everywhere. Less time debugging.

// redact LDAP password if part of string
func redactLDAPPwd(s string) string {
	parts := ldapPwdRegex.FindStringSubmatch(s)
	if len(parts) > 3 {
		return parts[1] + "LDAPPassword=*REDACTED*" + parts[3]
	}
	return s
}

// getOpName sanitizes the operation name for mc
func getOpName(name string) (op string) {
	op = strings.TrimPrefix(name, "github.com/minio/minio/cmd.")

     * 2. Check if field is a search field and apply field-specific query
     * 3. Fall back to default query builder for unsupported fields
     *
     * This reduces code duplication across query command implementations.
     *
     * @param fessConfig the Fess configuration
     * @param context the query context
     * @param field the field name
     * @param text the query text