16d7600b3235b65a29d975ae728395a808562f37,librosa/core/constantq.py,,cqt,#,18

Before Change

        n_fft = basis.shape[1]

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

        // normalize as in Parseval"s relation, and sparsify the basis
        fft_basis = util.sparsify_rows(fft_basis / n_fft, quantile=sparsity)

        // Compute a dynamic hop based on n_fft
        my_cqt = __variable_hop_response(y, n_fft,
                                         hop_length,

After Change

        res_type = "sinc_fastest"

    // Now do the recursive bit
    fft_basis, n_fft, min_filter_length = __fft_filters(sr, fmin_t,
                                                        bins_per_octave,
                                                        tuning,
                                                        resolution,

Instances