How to use the ledfx.effects.mel.compute_melmat function in LedFx

self.filterbank.set_mel_coeffs_htk(
                self._config['mic_rate'],
                self._config['min_frequency'],
                self._config['max_frequency'])

            # Frequencies wil be linearly spaced in the mel scale
            melbank_mel = np.linspace(
                aubio.hztomel(self._config['min_frequency']),
                aubio.hztomel(self._config['max_frequency']),
                self._config['samples'])
            self.melbank_frequencies = np.array(
                [aubio.meltohz(mel) for mel in melbank_mel])

        # Coefficients based on Scott's audio reactive led project
        if self._config['coeffs_type'] == 'scott':
            (melmat, center_frequencies_hz, freqs) = mel.compute_melmat(
                num_mel_bands=self._config['samples'],
                freq_min=self._config['min_frequency'],
                freq_max=self._config['max_frequency'],
                num_fft_bands=int(self._config['fft_size'] // 2) + 1,
                sample_rate=self._config['mic_rate'])
            self.filterbank = aubio.filterbank(
                self._config['samples'],
                self._config['fft_size'])
            self.filterbank.set_coeffs(melmat.astype(np.float32))
            self.melbank_frequencies = center_frequencies_hz

        # "Mel"-spacing based on Scott's audio reactive led project. This
        # should in theory be the same as the above, but there seems to be
        # slight differences. Leaving both for science!
        if self._config['coeffs_type'] == 'scott_mel':
            def hertz_to_scott(freq):

def compute_melmat(self):
        return mel.compute_melmat(
            num_mel_bands=self._config['samples'],
            freq_min=self._config['min_frequency'],
            freq_max=self._config['max_frequency'],
            num_fft_bands=int(self._config['nfft'] // 2) + 1,
            sample_rate=self._config['mic_rate'])