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authorMario Mulansky <mario.mulansky@gmx.net>2015-12-14 17:25:53 +0100
committerMario Mulansky <mario.mulansky@gmx.net>2015-12-14 17:25:53 +0100
commitf7b90618f01d4dbf015b3d21c6c06dec8d26bd9f (patch)
tree799a2fa0e0f7558ece400de15ca8d1358565c066 /test/test_regression/test_regression_15.py
parentd985f3a8de6ae840c8a127653b3d9affb1a8aa40 (diff)
parent9061f2a0c13134e53f937d730295a421fd671ea3 (diff)
Merge pull request #20 from mariomulansky/develop
Develop merge for version 0.4
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+""" test_regression_15.py
+
+Regression test for Issue #15
+
+Copyright 2015, Mario Mulansky <mario.mulansky@gmx.net>
+
+Distributed under the BSD License
+
+"""
+
+from __future__ import division
+
+import numpy as np
+from numpy.testing import assert_equal, assert_almost_equal, \
+ assert_array_almost_equal
+
+import pyspike as spk
+
+import os
+TEST_PATH = os.path.dirname(os.path.realpath(__file__))
+TEST_DATA = os.path.join(TEST_PATH, "..", "SPIKE_Sync_Test.txt")
+
+def test_regression_15_isi():
+ # load spike trains
+ spike_trains = spk.load_spike_trains_from_txt(TEST_DATA, edges=[0, 4000])
+
+ N = len(spike_trains)
+
+ dist_mat = spk.isi_distance_matrix(spike_trains)
+ assert_equal(dist_mat.shape, (N, N))
+
+ ind = np.arange(N//2)
+ dist_mat = spk.isi_distance_matrix(spike_trains, ind)
+ assert_equal(dist_mat.shape, (N//2, N//2))
+
+ ind = np.arange(N//2, N)
+ dist_mat = spk.isi_distance_matrix(spike_trains, ind)
+ assert_equal(dist_mat.shape, (N//2, N//2))
+
+
+def test_regression_15_spike():
+ # load spike trains
+ spike_trains = spk.load_spike_trains_from_txt(TEST_DATA, edges=[0, 4000])
+
+ N = len(spike_trains)
+
+ dist_mat = spk.spike_distance_matrix(spike_trains)
+ assert_equal(dist_mat.shape, (N, N))
+
+ ind = np.arange(N//2)
+ dist_mat = spk.spike_distance_matrix(spike_trains, ind)
+ assert_equal(dist_mat.shape, (N//2, N//2))
+
+ ind = np.arange(N//2, N)
+ dist_mat = spk.spike_distance_matrix(spike_trains, ind)
+ assert_equal(dist_mat.shape, (N//2, N//2))
+
+
+def test_regression_15_sync():
+ # load spike trains
+ spike_trains = spk.load_spike_trains_from_txt(TEST_DATA, edges=[0, 4000])
+
+ N = len(spike_trains)
+
+ dist_mat = spk.spike_sync_matrix(spike_trains)
+ assert_equal(dist_mat.shape, (N, N))
+
+ ind = np.arange(N//2)
+ dist_mat = spk.spike_sync_matrix(spike_trains, ind)
+ assert_equal(dist_mat.shape, (N//2, N//2))
+
+ ind = np.arange(N//2, N)
+ dist_mat = spk.spike_sync_matrix(spike_trains, ind)
+ assert_equal(dist_mat.shape, (N//2, N//2))
+
+
+if __name__ == "__main__":
+ test_regression_15_isi()
+ test_regression_15_spike()
+ test_regression_15_sync()