import com.google.common.annotations.VisibleForTesting;

/**
 * Implementation of Geoff Pike's fingerprint2011 hash function. See {@link Hashing#fingerprint2011}
 * for information on the behaviour of the algorithm.
 *
 * <p>On Intel Core2 2.66, on 1000 bytes, fingerprint2011 takes 0.9 microseconds compared to
 * fingerprint at 4.0 microseconds and md5 at 4.5 microseconds.
 *

        Model child = getModel(baseName + "-child");

        if (fromRepo) {
            // when model is read from repo, a stream is used, then pomFile == null
            // (has consequences in inheritance algorithm since getProjectDirectory() returns null)
            parent = parent.clone();
            parent.setPomFile(null);
            child = child.clone();
            child.setPomFile(null);
        }

     * and the arithmetic mean is always higher than the geometric mean.
     *
     * b) this iteration converges to floor(sqrt(x)). In fact, the number of correct digits doubles
     * with each iteration, so this algorithm takes O(log(digits)) iterations.
     *
     * We start out with a double-precision approximation, which may be higher or lower than the
     * true value. Therefore, we perform at least one Newton iteration to get a guess that's

   * from the resulting text.
   *
   * <p>If the character does not need to be escaped, this method should return {@code null}, rather
   * than a one-character array containing the character itself. This enables the escaping algorithm
   * to perform more efficiently.
   *
   * <p>An escaper is expected to be able to deal with any {@code char} value, so this method should
   * not throw any exceptions.
   *

        : ImmutableList.<E>construct(elements.clone());
  }

  /**
   * Returns an immutable list containing the given elements, sorted according to their natural
   * order. The sorting algorithm used is stable, so elements that compare as equal will stay in the
   * order in which they appear in the input.
   *
   * <p>If your data has no duplicates, or you wish to deduplicate elements, use {@code

URLs are abstract:

        // Verify it produces a valid MD5 hash (16 bytes)
        assertNotNull(result);
        assertEquals(16, result.length);

        // Calculate the same using manual HMACT64 algorithm
        byte[] expectedResult = calculateHMACT64Manually(key, data);
        assertArrayEquals(expectedResult, result);
    }

    @Test
    void testHMACT64WithEmptyData() {
        // Test with empty data

import com.google.common.cache.CacheBuilder;

import jakarta.annotation.PostConstruct;
import jakarta.servlet.http.HttpServletRequest;

/**
 * Helper class for rate limiting functionality.
 * Implements a sliding window algorithm for request counting
 * and manages IP-based blocking using Guava Cache for automatic expiration.
 */
public class RateLimitHelper {

    private static final Logger logger = LogManager.getLogger(RateLimitHelper.class);

 */
// TODO(kevinb): this class still needs some design-and-document-for-inheritance love
abstract class AbstractStreamingHasher extends AbstractHasher {
  /** Buffer via which we pass data to the hash algorithm (the implementor) */
  private final ByteBuffer buffer;

  /** Number of bytes to be filled before process() invocation(s). */
  private final int bufferSize;

  /** Number of bytes processed per process() invocation. */

        });
    }

    /**
     * Generates a hashed ID from the provided URL ID string.
     * Encodes special characters using URL encoding or Base64 encoding as needed,
     * then applies a message digest algorithm to create a unique hash.
     *
     * @param urlId the URL ID string to generate a hash for
     * @return a hashed ID string generated from the input URL ID
     */