

def f_alarm(burglary, earthquake, alarm):
    table = dict()
    table['ttt'] = 0.95
    table['ttf'] = 0.05
    table['tft'] = 0.94
    table['tff'] = 0.06
    table['ftt'] = 0.29
    table['ftf'] = 0.71
    table['fft'] = 0.001
    table['fff'] = 0.999
    key = ''
    key = ((key + 't') if burglary else (key + 'f'))
    key = ((key + 't') if earthquake else (key + 'f'))
    key = ((key + 't') if alarm else (key + 'f'))
    return table[key]

dataset/ETHPy150Open eBay/bayesian-belief-networks/bayesian/examples/factor_graphs/earthquake.py f_alarm/original