eca463691a033207261d9b65f9302822b2509571,tests/test_core.py,,test_fmt_scale,#,729

Before Change

        assert np.allclose(np.abs(f_orig[:n]), np.abs(f_res[:n]), atol=1e-3)


    y_orig = np.cos(2 * np.pi * np.linspace(0, 1, num=256))

    for scale in [9./8, 7./8]:

        // Scale the time axis
        y_res = librosa.resample(y_orig, 1.0, scale, fix=True, res_type="scipy")

        // Re-normalize the energy to match that of y_orig
        y_res /= np.sqrt(scale)

After Change

    bounds = [0, 1.0]
    num = 2**9

    x = np.linspace(bounds[0], bounds[1], num=num, endpoint=False)

    y_orig = f(x)

    for scale in [9./8, 7./8]:

        // Scale the time axis
        x_res = np.linspace(bounds[0], bounds[1], num=scale * num, endpoint=False)
        y_res = f(x_res)

        // Re-normalize the energy to match that of y_orig

Instances