def __variable_hop_response(y, n_fft, hop_length, min_filter_length,
                            fft_basis, aggregate):

    # If target_hop <= n_fft / 2:
    #   my_hop = target_hop
    # else:
    #   my_hop = target_hop * 2**(-k)

    zoom_factor = np.ceil(np.log2(hop_length) - np.log2(min_filter_length))

    zoom_factor = 2**int(np.maximum(0, 1 + zoom_factor))

    # Compute the STFT matrix
    D = stft(y, n_fft=n_fft, hop_length=int(hop_length / zoom_factor),
             window=np.ones)

    # And filter response energy
    my_cqt = fft_basis.dot(D)

    if zoom_factor > 1:
        # We need to aggregate.  Generate the boundary frames
        bounds = np.arange(0, my_cqt.shape[1], zoom_factor, dtype=int)
        my_cqt = util.sync(my_cqt, bounds, aggregate=aggregate)

    return my_cqt
Updates the Thespian thesplog internal call functionality.  The first argument is the Actor number, the second argument is the logging threshold (e.g. "debug", "warning", etc.), the third argument is true or false to specify the forwarding of thesplog calls to python logging, and the fourth argument is true or false to specify whether to append thesplog output to /tmp/Thespian.log
dataset/ETHPy150Open bmcfee/librosa/librosa/core/constantq.py/__variable_hop_response--crossover with--dataset/ETHPy150Open godaddy/Thespian/thespian/shell.py/ThespianShell.do_set_thesplog