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"""! |
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Unit-tests for utils module. |
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Copyright (C) 2015 Andrei Novikov ([email protected]) |
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pyclustering is free software: you can redistribute it and/or modify |
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it under the terms of the GNU General Public License as published by |
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the Free Software Foundation, either version 3 of the License, or |
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(at your option) any later version. |
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pyclustering is distributed in the hope that it will be useful, |
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but WITHOUT ANY WARRANTY; without even the implied warranty of |
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
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GNU General Public License for more details. |
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You should have received a copy of the GNU General Public License |
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along with this program. If not, see <http://www.gnu.org/licenses/>. |
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""" |
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import unittest; |
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from pyclustering.utils import euclidean_distance; |
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from pyclustering.utils import average_neighbor_distance; |
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class Test(unittest.TestCase): |
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def testEuclideanDistance(self): |
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point1 = [1, 2]; |
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point2 = [1, 3]; |
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point3 = [4, 6]; |
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# Tests for euclidean_distance |
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assert euclidean_distance(point1, point2) == 1; |
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assert euclidean_distance(point1, point1) == 0; |
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assert euclidean_distance(point1, point3) == 5; |
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def testFloatEuclideanDistance(self): |
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assert euclidean_distance(0.5, 1.5) == 1; |
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assert self.float_comparasion(euclidean_distance(1.6, 1.4), 0.2); |
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assert self.float_comparasion(euclidean_distance(4.23, 2.14), 2.09); |
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def testAverageNeighborFourDistance(self): |
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points = [[0.0, 0.0], [0.0, 1.0], [1.0, 1.0], [1.0, 0.0]]; |
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assert average_neighbor_distance(points, 1) == 1.0; |
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assert average_neighbor_distance(points, 2) == 1.0; |
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assert self.float_comparasion(average_neighbor_distance(points, 3), 1.1381); |
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def testAverageNeighborFourDistanceNegativeValues(self): |
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points = [[0.0, 0.0], [0.0, -1.0], [-1.0, -1.0], [-1.0, 0.0]]; |
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assert average_neighbor_distance(points, 1) == 1.0; |
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assert average_neighbor_distance(points, 2) == 1.0; |
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assert self.float_comparasion(average_neighbor_distance(points, 3), 1.1381); |
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def float_comparasion(self, float1, float2, eps = 0.0001): |
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return ( (float1 + eps) > float2 and (float1 - eps) < float2 ); |
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if __name__ == "__main__": |
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unittest.main(); |
annoviko /
pyclustering
