0db665e29744767c24b40e0d71be830d1079e5ec,librosa/core/constantq.py,,__fft_filters,#,462

Before Change

                                        return_lengths=True)

    // FFT the filters
    min_filter_length = np.min(lengths)

    // Filters are padded up to the nearest integral power of 2
    n_fft = basis.shape[1]

After Change

    n_fft = basis.shape[1]

    if hop_length is not None and n_fft < 2 * hop_length:
        n_fft = int(2.0 ** (np.ceil(np.log2(2 * hop_length))))

    // normalize by inverse length to compensate for phase invariance
    basis *= lengths.reshape((-1, 1)) / n_fft

    // FFT and retain only the non-negative frequencies
    fft_basis = np.fft.fft(basis, n=n_fft, axis=1)[:, :(n_fft / 2)+1]

Instances