import sys
import numpy as np
import scipy.io as io

file = sys.argv[1]
with open(file, 'r') as sf:
    x = []
    for line in sf:
        line = line.strip()
        if len(line) > 0 and line[0] != '#':
            x.append(float(line))
    spikes = np.array(x)*0.001
    # break the single spiketrain in trials of 5 seconds:
    trials = []
    w = 5.0
    for t0 in np.arange(0.0, spikes[-1], w):
        trials.append(spikes[(spikes>=t0)&(spikes<t0+w)]-t0)
    data = {'spikes': trials}
    io.savemat(file.replace('.dat', '.mat'), data)