import sys
from ml import ml
import numpy as np
from cPickle import load
from itertools import product
from math import exp


if __name__ == "__main__":
    if len(sys.argv) < 2:
        sys.exit("usage: {0} <file>".format(sys.argv[0]))

    root_victims, victims, non_victims, age = load(open(sys.argv[1]))
    alphas = 1. / np.arange(1., 1000., 50.)  # parameter of the time component
    deltas = np.arange(0.01, 0.5, 0.1)  # parameter of the structural component
    with open("out.log", "w") as fh:
        for alpha, delta in product(alphas, deltas):
            beta, roots, ll = ml(root_victims, victims, non_victims, age, alpha, delta)
            print "\t".join(map(str, [1/alpha, delta, beta, roots, ll, exp(ll)]))
            fh.write("\t".join(map(str, [alpha, delta, beta, roots, ll])) + "\n")
            fh.flush()