bcf9bf22d99262e2483b5eea61db28ba3aed0bf4,mir_eval/melody.py,,resample_melody_series,#Any#Any#Any#Any#,127

Before Change

        if frequency == 0:
            frequencies_held[n + 1] = frequencies_held[n]
    // Compute new timebase.  Rounding/linspace is to avoid float problems.
    times = np.round(times*1e10)*1e-10
    times_new = np.linspace(0, hop*int(np.floor(times[-1]/hop)), int(np.floor(times[-1]/hop)) + 1)
    times_new = np.round(times_new*1e10)*1e-10
    // Linearly interpolate frequencies
    frequencies_resampled = scipy.interpolate.interp1d(times, frequencies_held)(times_new)
    // Retain zeros
    frequency_mask = scipy.interpolate.interp1d(times, frequencies, "zero")(times_new)

After Change

        if frequency == 0:
            frequencies_held[n + 1] = frequencies_held[n]
    // Round to avoid floating point problems
    times = np.round(times, 10)
    // Linearly interpolate frequencies
    frequencies_resampled = scipy.interpolate.interp1d(times, frequencies_held)(times_new)
    // Retain zeros
    frequency_mask = scipy.interpolate.interp1d(times, frequencies, "zero")(times_new)

Instances