* **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.

		{math.MaxInt64, 12, true},
		{0, 12, true},
		{math.MinInt64, 12, true},
	}

	for _, v := range vectors {
		ok := fitsInBase256(v.width, v.in)
		if ok != v.ok {
			t.Errorf("fitsInBase256(%d, %d): got %v, want %v", v.in, v.width, ok, v.ok)
		}
	}
}

func TestParseNumeric(t *testing.T) {
	vectors := []struct {
		in   string
		want int64
		ok   bool
	}{
		// Test base-256 (binary) encoded values.

    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=");

    void testAs_Enumeration_Success() throws PACDecodingException {
        // Test successful casting from enumeration
        Vector<ASN1Integer> vector = new Vector<>();
        ASN1Integer expected = new ASN1Integer(123);
        vector.add(expected);
        ASN1Integer result = ASN1Util.as(ASN1Integer.class, vector.elements());
        assertSame(expected, result);
    }

    @Test
    void testAs_Enumeration_Failure() {

    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=");

     * @param c the collection of elements to be placed in the vector
     * @return a new instance of {@link Vector}
     * @see Vector#Vector(Collection)
     */
    public static <E> Vector<E> newVector(final Collection<? extends E> c) {
        return new Vector<>(c);
    }

    /**
     * Creates and returns a new instance of {@link Vector}.
     *
     * @param <E> the element type of {@link Vector}

     */
    @Test
    void testConstructorUnknownField() throws IOException {
        ASN1EncodableVector vector = new ASN1EncodableVector();
        vector.add(new DERTaggedObject(99, new DERGeneralString("unknown")));
        DERSequence sequence = new DERSequence(vector);
        byte[] encoded = new DERTaggedObject(false, BERTags.APPLICATION, 1, sequence).getEncoded();

  if (!status->status.ok()) return;

  // Initialize a input_tensor vector with `nullptr` values.
  std::vector<const Tensor*> input_tensors_vector(num_inputs, nullptr);
  // A vector to keep track of newly created `tf::Tensor` objects.
  std::vector<Tensor> all_input_tensors;
  // Update the vector with information from `input_tensors` if provided.
  if (input_tensors != nullptr) {

        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];

     */
    @Override
    public Settings settings() {
        return client.settings();
    }

    /**
     * Gets term vectors for a document asynchronously.
     *
     * @param request the term vectors request
     * @return a future for the term vectors response
     */
    @Override
    public ActionFuture<TermVectorsResponse> termVectors(final TermVectorsRequest request) {