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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()