}

	duration := ts2.Sub(ts1)
	y1, m1, d1 := ts1.Date()
	y2, m2, d2 := ts2.Date()

	switch timePart {
	case timePartYear:
		dy := int64(y2 - y1)
		if m2 > m1 || (m2 == m1 && d2 >= d1) {
			return FromInt(dy), nil
		}
		return FromInt(dy - 1), nil
	case timePartMonth:
		m1 += time.Month(12 * y1)
		m2 += time.Month(12 * y2)

		return FromInt(int64(m2 - m1)), nil
	case timePartDay:

/* Returns numerical grad inside `dtheta_approx` given `forward` model and
 * parameter specified by `input_index`.
 *
 * I.e. if y = <output of the forward model> and w = inputs[input_index],
 * this will calculate dy/dw numerically.
 *
 * `use_function` indicates whether to use graph mode(true) or eager(false).
 *
 * `numerical_grad` is the pointer to the AbstractTensorHandle* which will

    }

    @Test
    void populatePropertiesMultiple() throws Exception {
        // Arrange
        CliRequest request = new CliRequest(new String[] {"-Dx=1", "-Dy", "validate"}, null);

        // Act
        cli.cli(request);
        cli.properties(request);

        // Assert
        assertEquals("1", request.getUserProperties().getProperty("x"));

                     TF_Output* dx, TF_Status* status, TF_Output* dy) {
  TF_AddGradientsWithPrefix(g, nullptr, y, ny, x, nx, dx, status, dy);
}

void TF_AddGradientsWithPrefix(TF_Graph* g, const char* prefix, TF_Output* y,
                               int ny, TF_Output* x, int nx, TF_Output* dx,
                               TF_Status* status, TF_Output* dy) {
#if defined(IS_MOBILE_PLATFORM) || defined(IS_SLIM_BUILD)

,"attributetype","azimuth","basefrequency","baseline-shift","begin","bias","by","class","clip","clippathunits","clip-path","clip-rule","color","color-interpolation","color-interpolation-filters","color-profile","color-rendering","cx","cy","d","dx","dy","diffuseconstant","direction","display","divisor","dur","edgemode","elevation","end","exponent","fill","fill-opacity","fill-rule","filter","filterunits","flood-color","flood-opacity","font-family","font-size","font-size-adjust","font-stretch","fon...

    // The expected graph looks like this if grad_inputs_provided.
    // If grad_inputs_provided is false, Const_0 will be a OnesLike op.
    //      ^             ^
    //    dy|           dx|        // MatMul Gradient Graph
    //      |             |
    //   MatMul_2      MatMul_1
    //   ^   ^          ^    ^
    //   |   |----------|    |
    //   |        ^          |

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