architecture gives flexibility to the application developer, whereas in previous “parameter server” designs the management of shared state is built into the system, TensorFlow enables developers to experiment with novel optimizations and training algorithms. TensorFlow supports a variety of applications, with a focus on training and inference on deep neural networks. Several Google services use TensorFlow in production, we have released it as an open-source project, and it has become widely used for...

  double median(int reps) {
    double dummy = 0.0;
    for (int i = 0; i < reps; i++) {
      dummy += algorithm.singleQuantile(1, 2, dataset(i));
    }
    return dummy;
  }

  @Benchmark
  double percentile90(int reps) {
    double dummy = 0.0;
    for (int i = 0; i < reps; i++) {
      dummy += algorithm.singleQuantile(90, 100, dataset(i));
    }
    return dummy;
  }

  @Benchmark

        Hashing.hmacSha1(keyData).toString());

    assertEquals(
        "Hashing.hmacSha256(Key[algorithm=HmacSHA256, format=RAW])",
        Hashing.hmacSha256(SHA256_KEY).toString());
    assertEquals(
        "Hashing.hmacSha256(Key[algorithm=HmacSHA256, format=RAW])",
        Hashing.hmacSha256(keyData).toString());

    assertEquals(

        });
    }

    @Test
    @DisplayName("Test unsupported hash algorithm")
    public void testUnsupportedHashAlgorithm() {
        byte[] salt = preauthService.generatePreauthSalt();

        assertThrows(CIFSException.class, () -> {
            preauthService.initializeSession("test", salt, 0xFF); // Unsupported algorithm
        });
    }

    @Test

	}
	for algorithm := range bitrotAlgorithms {
		if !algorithm.Available() {
			continue
		}

		checksum, err := hex.DecodeString(checksums[algorithm])
		if err != nil {
			logger.Fatal(errSelfTestFailure, fmt.Sprintf("bitrot: failed to decode %v checksum %s for selftest: %v", algorithm, checksums[algorithm], err))
		}
		var (
			hash = algorithm.New()

import java.io.IOException;

/**
 * Represents a PAC signature structure containing checksum type and data.
 * This class parses and holds signature information from Kerberos PAC data,
 * supporting various checksum algorithms including HMAC-MD5 and HMAC-SHA1 with AES.
 */
public class PacSignature {

    /**
     * Kerberos checksum type for HMAC-MD5 (ARCFOUR-HMAC).
     */
    public static final int KERB_CHECKSUM_HMAC_MD5 = 0xFFFFFF76;

URLs are abstract:

 * This class provides methods for computing MACs using various Kerberos encryption types including
 * ARCFOUR-HMAC-MD5 and AES-based HMAC algorithms.
 */
public class PacMac {

    /**
     * Private constructor to prevent instantiation of utility class.
     */
    private PacMac() {
        // Utility class
    }

    /**
     *
     */

/**
 * SMB2/SMB3 message signing digest implementation.
 *
 * This class handles cryptographic signing of SMB2/SMB3 messages to ensure
 * message integrity and authenticity. It supports different signing algorithms
 * used in various SMB2/SMB3 dialect versions.
 *
 * @author mbechler
 */
public class Smb2SigningDigest implements SMBSigningDigest, AutoCloseable {

	tillOffset := min(endShard*shardSize+shardSize, shardFileSize)
	return tillOffset
}

// erasureSelfTest performs a self-test to ensure that erasure
// algorithms compute expected erasure codes. If any algorithm
// produces an incorrect value it fails with a hard error.
//
// erasureSelfTest tries to catch any issue in the erasure implementation
// early instead of silently corrupting data.