How to use the ledfx.effects.math.ExpFilter function in LedFx

coeffs = self.filterbank.get_coeffs()
            coeffs /= np.max(coeffs, axis=-1)[:, None]
            self.filterbank.set_coeffs(coeffs)

        # Find the indexes for each of the frequency ranges
        for i in range(0, len(self.melbank_frequencies) - 1):
            if self.melbank_frequencies[i] < FREQUENCY_RANGES_SIMPLE['low'].max:
                self.lows_index = i
            elif self.melbank_frequencies[i] < FREQUENCY_RANGES_SIMPLE['mid'].max:
                self.mids_index = i
            elif self.melbank_frequencies[i] < FREQUENCY_RANGES_SIMPLE['high'].max:
                self.highs_index = i

        # Build up some of the common filters
        self.mel_gain = ExpFilter(np.tile(1e-1, self._config['samples']), alpha_decay=0.01, alpha_rise=0.99)
        self.mel_smoothing = ExpFilter(np.tile(1e-1, self._config['samples']), alpha_decay=0.2, alpha_rise=0.99)
        self.common_filter = ExpFilter(alpha_decay = 0.99, alpha_rise = 0.01)

coeffs /= np.max(coeffs, axis=-1)[:, None]
            self.filterbank.set_coeffs(coeffs)

        # Find the indexes for each of the frequency ranges
        for i in range(0, len(self.melbank_frequencies) - 1):
            if self.melbank_frequencies[i] < FREQUENCY_RANGES_SIMPLE['low'].max:
                self.lows_index = i
            elif self.melbank_frequencies[i] < FREQUENCY_RANGES_SIMPLE['mid'].max:
                self.mids_index = i
            elif self.melbank_frequencies[i] < FREQUENCY_RANGES_SIMPLE['high'].max:
                self.highs_index = i

        # Build up some of the common filters
        self.mel_gain = ExpFilter(np.tile(1e-1, self._config['samples']), alpha_decay=0.01, alpha_rise=0.99)
        self.mel_smoothing = ExpFilter(np.tile(1e-1, self._config['samples']), alpha_decay=0.2, alpha_rise=0.99)
        self.common_filter = ExpFilter(alpha_decay = 0.99, alpha_rise = 0.01)

if self._config['coeffs_type'] != 'scott' and self._config['coeffs_type'] == 'scott_mel':
            coeffs = self.filterbank.get_coeffs()
            coeffs /= np.max(coeffs, axis=-1)[:, None]
            self.filterbank.set_coeffs(coeffs)

        # Find the indexes for each of the frequency ranges
        for i in range(0, len(self.melbank_frequencies) - 1):
            if self.melbank_frequencies[i] < FREQUENCY_RANGES_SIMPLE['low'].max:
                self.lows_index = i
            elif self.melbank_frequencies[i] < FREQUENCY_RANGES_SIMPLE['mid'].max:
                self.mids_index = i
            elif self.melbank_frequencies[i] < FREQUENCY_RANGES_SIMPLE['high'].max:
                self.highs_index = i

        # Build up some of the common filters
        self.mel_gain = ExpFilter(np.tile(1e-1, self._config['samples']), alpha_decay=0.01, alpha_rise=0.99)
        self.mel_smoothing = ExpFilter(np.tile(1e-1, self._config['samples']), alpha_decay=0.2, alpha_rise=0.99)
        self.common_filter = ExpFilter(alpha_decay = 0.99, alpha_rise = 0.01)

def __init__(self, ledfx, config):
        self._config = self.AUDIO_CONFIG_SCHEMA(config)
        self._ledfx = ledfx

        self._volume = -90
        self._volume_filter = ExpFilter(-90, alpha_decay=0.01, alpha_rise=0.99)

def _initialize_melbank(self):
        """Initialize all the melbank related variables"""

        (self.mel_y, _, _) = self.compute_melmat()
        self.mel_gain = ExpFilter(np.tile(1e-1, self._config['samples']), alpha_decay=0.01, alpha_rise=0.99)
        self.mel_smoothing = ExpFilter(np.tile(1e-1, self._config['samples']), alpha_decay=0.5, alpha_rise=0.99)
        self.common_filter = ExpFilter(alpha_decay = 0.99, alpha_rise = 0.01)

        self.melbank_frequencies = np.linspace(
            self._config['min_frequency'],
            self._config['max_frequency'],
            self._config['samples']).astype(np.int32)

def _initialize_melbank(self):
        """Initialize all the melbank related variables"""

        (self.mel_y, _, _) = self.compute_melmat()
        self.mel_gain = ExpFilter(np.tile(1e-1, self._config['samples']), alpha_decay=0.01, alpha_rise=0.99)
        self.mel_smoothing = ExpFilter(np.tile(1e-1, self._config['samples']), alpha_decay=0.5, alpha_rise=0.99)
        self.common_filter = ExpFilter(alpha_decay = 0.99, alpha_rise = 0.01)

        self.melbank_frequencies = np.linspace(
            self._config['min_frequency'],
            self._config['max_frequency'],
            self._config['samples']).astype(np.int32)

def __init__(self, ledfx, config):
        self._config = self.AUDIO_CONFIG_SCHEMA(config)
        self._ledfx = ledfx

        self._volume_filter = ExpFilter(np.zeros(1), alpha_decay=0.001, alpha_rise=0.1)

def _initialize_melbank(self):
        """Initialize all the melbank related variables"""

        (self.mel_y, _, _) = self.compute_melmat()
        self.mel_gain = ExpFilter(np.tile(1e-1, self._config['samples']), alpha_decay=0.01, alpha_rise=0.99)
        self.mel_smoothing = ExpFilter(np.tile(1e-1, self._config['samples']), alpha_decay=0.5, alpha_rise=0.99)
        self.common_filter = ExpFilter(alpha_decay = 0.99, alpha_rise = 0.01)

        self.melbank_frequencies = np.linspace(
            self._config['min_frequency'],
            self._config['max_frequency'],
            self._config['samples']).astype(np.int32)