c7811e399b636c2514d6bc0b6013291541f1a3ed,librosa/feature.py,,spectral_contrast,#,201

Before Change

    octa[1:] = 200 * (2.0**np.arange(0, n_bands + 1))

    valley = np.zeros((n_bands + 1, n_frames))
    peak = np.zeros((n_bands + 1, n_frames))

    for k in range(1, len(octa)):
        current_band = np.logical_and(freq >= octa[k - 1], freq <= octa[k])

After Change

    octa[1:] = 200 * (2.0**np.arange(0, n_bands + 1))

    valley = np.zeros((n_bands + 1, S.shape[1]))
    peak = np.zeros_like(valley)

    for k, (f_low, f_high) in enumerate(zip(octa[:-1], octa[1:])):
        current_band = np.logical_and(freq >= f_low, freq <= f_high)

Instances