def __trim_stack(cqt_resp, n_bins, real):

    # cleanup any framing errors at the boundaries
    max_col = min([x.shape[1] for x in cqt_resp])

    cqt_resp = np.vstack([x[:, :max_col] for x in cqt_resp][::-1])

    # Finally, clip out any bottom frequencies that we don't really want
    # Transpose magic here to ensure column-contiguity

    C = np.ascontiguousarray(cqt_resp[-n_bins:].T).T
    if real:
        C = np.abs(C)
    return C
A wrapper around strftime. Also returns '' if the input is None.
dataset/ETHPy150Open bmcfee/librosa/librosa/core/constantq.py/__trim_stack--crossover with--dataset/ETHPy150Open AppScale/appscale/AppServer/google/appengine/ext/bulkload/transform.py/export_date_time