* **Machine Learning**: normalmente requiere muchas multiplicaciones de "matrices" y "vectores". Piensa en una enorme hoja de cálculo con números y multiplicando todos juntos al mismo tiempo.

    BaseEncoding separated = base64().withSeparator("\n", 3);
    assertThrows(UnsupportedOperationException.class, () -> separated.withSeparator("$", 4));
  }

  public void testBase64() {
    // The following test vectors are specified in RFC 4648 itself
    testEncodingWithSeparators(base64(), "", "");
    testEncodingWithSeparators(base64(), "f", "Zg==");
    testEncodingWithSeparators(base64(), "fo", "Zm8=");

        .createTestSuite();
  }

  // We are testing Vector / testing our tests on Vector.
  @SuppressWarnings("JdkObsolete")
  private Test testsForVector() {
    return ListTestSuiteBuilder.using(
            new TestStringListGenerator() {
              @Override
              protected List<String> create(String[] elements) {
                return new Vector<>(MinimalCollection.of(elements));
              }
            })

        .createTestSuite();
  }

  // We are testing Vector / testing our tests on Vector.
  @SuppressWarnings("JdkObsolete")
  private Test testsForVector() {
    return ListTestSuiteBuilder.using(
            new TestStringListGenerator() {
              @Override
              protected List<String> create(String[] elements) {
                return new Vector<>(MinimalCollection.of(elements));
              }
            })

            if (mechs != null) {
                final ASN1EncodableVector vector = new ASN1EncodableVector();
                for (final ASN1ObjectIdentifier mech : mechs) {
                    vector.add(mech);
                }
                fields.add(new DERTaggedObject(true, 0, new DERSequence(vector)));
            }
            final int ctxFlags = getContextFlags();
            if (ctxFlags != 0) {

        assertFalse(Arrays.equals(signingKey, signingKey311), "Should be different from SMB 3.1.1 key");
    }

    @Test
    @DisplayName("Should derive keys with specific test vectors")
    void testDeriveKeys_TestVectors() {
        // Given - Use known test vector (simplified for demonstration)
        byte[] testSessionKey = new byte[16];
        Arrays.fill(testSessionKey, (byte) 0xAA);
        byte[] testPreauth = new byte[64];

        @CsvSource({ "1000, 500, 1, 512", // Minimal sectors per alloc
                "1000, 500, 8, 512", // Typical configuration
                "1000, 500, 64, 512", // Large allocation units
                "1000, 500, 8, 4096", // 4K sectors
                "1000, 500, 16, 4096", // Large sectors and allocation
                "1000, 0, 8, 512", // No free space

        @CsvSource({ "1000, 500, 600, 1, 512", // Minimal sectors per alloc
                "1000, 500, 600, 8, 512", // Typical configuration
                "1000, 500, 600, 64, 512", // Large allocation units
                "1000, 500, 600, 8, 4096", // 4K sectors
                "1000, 500, 600, 16, 4096", // Large sectors and allocation
                "1000, 0, 0, 8, 512", // No free space

        assertArrayEquals(result1, result2);
    }

    @Test
    void testHMACT64WithKnownTestVector() throws NoSuchAlgorithmException {
        // Test with known test vector
        // Using test vector from RFC 2104 adapted for HMACT64
        byte[] key = new byte[16];
        Arrays.fill(key, (byte) 0x0b);
        byte[] data = "Hi There".getBytes();

        }
        return out;
    }

    @Test
    @DisplayName("getNTHash: known vector for 'password'")
    void testGetNTHash_knownVector() {
        // Arrange
        String password = "password";
        // Known NT hash for "password" (UTF-16LE MD4)
        // This is a well-known test vector: password -> 8846F7EAEE8FB117AD06BDD830B7586C
        byte[] expected = hex("8846F7EAEE8FB117AD06BDD830B7586C");