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""" test_empty.py
Tests the distance measure for empty spike trains
Copyright 2014, Mario Mulansky <mario.mulansky@gmx.net>
Distributed under the BSD License
"""
from __future__ import print_function
import numpy as np
from copy import copy
from numpy.testing import assert_equal, assert_almost_equal, \
assert_array_equal, assert_array_almost_equal
import pyspike as spk
from pyspike import SpikeTrain
def test_get_non_empty():
st = SpikeTrain([], edges=(0.0, 1.0))
spikes = st.get_spikes_non_empty()
assert_array_equal(spikes, [0.0, 1.0])
st = SpikeTrain([0.5, ], edges=(0.0, 1.0))
spikes = st.get_spikes_non_empty()
assert_array_equal(spikes, [0.0, 0.5, 1.0])
def test_isi_empty():
st1 = SpikeTrain([], edges=(0.0, 1.0))
st2 = SpikeTrain([], edges=(0.0, 1.0))
d = spk.isi_distance(st1, st2)
assert_equal(d, 0.0)
prof = spk.isi_profile(st1, st2)
assert_equal(d, prof.avrg())
assert_array_equal(prof.x, [0.0, 1.0])
assert_array_equal(prof.y, [0.0, ])
st1 = SpikeTrain([], edges=(0.0, 1.0))
st2 = SpikeTrain([0.4, ], edges=(0.0, 1.0))
d = spk.isi_distance(st1, st2)
assert_equal(d, 0.6*0.4+0.4*0.6)
prof = spk.isi_profile(st1, st2)
assert_equal(d, prof.avrg())
assert_array_equal(prof.x, [0.0, 0.4, 1.0])
assert_array_equal(prof.y, [0.6, 0.4])
st1 = SpikeTrain([0.6, ], edges=(0.0, 1.0))
st2 = SpikeTrain([0.4, ], edges=(0.0, 1.0))
d = spk.isi_distance(st1, st2)
assert_almost_equal(d, 0.2/0.6*0.4 + 0.0 + 0.2/0.6*0.4, decimal=15)
prof = spk.isi_profile(st1, st2)
assert_equal(d, prof.avrg())
assert_array_almost_equal(prof.x, [0.0, 0.4, 0.6, 1.0], decimal=15)
assert_array_almost_equal(prof.y, [0.2/0.6, 0.0, 0.2/0.6], decimal=15)
if __name__ == "__main__":
test_get_non_empty()
test_isi_empty()
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