from __future__ import print_function
import numpy as np
import lib.config as config
import lib.melbank as melbank


class ExpFilter:
    """Simple exponential smoothing filter"""
    def __init__(self, val=0.0, alpha_decay=0.5, alpha_rise=0.5):
        """Small rise / decay factors = more smoothing"""
        assert 0.0 < alpha_decay < 1.0, 'Invalid decay smoothing factor'
        assert 0.0 < alpha_rise < 1.0, 'Invalid rise smoothing factor'
        self.alpha_decay = alpha_decay
        self.alpha_rise = alpha_rise
        self.value = val

    def update(self, value):
        if isinstance(self.value, (list, np.ndarray, tuple)):
            alpha = value - self.value
            alpha[alpha > 0.0] = self.alpha_rise
            alpha[alpha <= 0.0] = self.alpha_decay
        else:
            alpha = self.alpha_rise if value > self.value else self.alpha_decay
        self.value = alpha * value + (1.0 - alpha) * self.value
        return self.value