@verbose
def tfr_multitaper(inst, freqs, n_cycles, time_bandwidth=4.0,
                   use_fft=True, return_itc=True, decim=1, n_jobs=1,
                   picks=None, verbose=None):

    data = _get_data(inst, return_itc)
    info = inst.info

    info, data, picks = _prepare_picks(info, data, picks)
    data = data = data[:, picks, :]

    power, itc = _induced_power_mtm(data, sfreq=info['sfreq'],
                                    frequencies=freqs, n_cycles=n_cycles,
                                    time_bandwidth=time_bandwidth,
                                    use_fft=use_fft, decim=decim,
                                    n_jobs=n_jobs, zero_mean=True,
                                    verbose='INFO')
    times = inst.times[::decim].copy()
    nave = len(data)
    out = AverageTFR(info, power, times, freqs, nave,
                     method='mutlitaper-power')
    if return_itc:
        out = (out, AverageTFR(info, itc, times, freqs, nave,
                               method='mutlitaper-itc'))
    return out
Dumps parsed configurations into files.
dataset/ETHPy150Open mne-tools/mne-python/mne/time_frequency/tfr.py/tfr_multitaper--crossover with--dataset/ETHPy150Open letsencrypt/letsencrypt/certbot-nginx/certbot_nginx/parser.py/NginxParser.filedump