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#!/usr/bin/env python
import unittest
import numpy
import cogent.cluster.goodness_of_fit as goodness_of_fit
__author__ = "Andreas Wilm"
__copyright__ = "Copyright 2007-2009, The Cogent Project"
__credits__ = ["Andreas Wilm"]
__license__ = "GPL"
__version__ = "1.4.1"
__maintainer__ = "Andreas Wilm"
__email__ = "andreas.wilm@ucd.ie"
__status__ = "Production"
def example_distmat_and_mdscoords():
"""Return an example distance matrix and corresponding MDS coordinates
Arguments:
* None
Returns:
* Tuple of:
** a distance matrix as numpy.matrix and
** MDS coordinates as numpy.array
"""
distmat = numpy.array([
[ 0. , 0.039806, 0.056853, 0.21595 , 0.056853, 0.0138 ,
0.203862, 0.219002, 0.056853, 0.064283],
[ 0.039806, 0. , 0.025505, 0.203862, 0.0208 , 0.039806,
0.194917, 0.21291 , 0.0208 , 0.027869],
[ 0.056853, 0.025505, 0. , 0.197887, 0.018459, 0.056853,
0.191958, 0.203862, 0.018459, 0.025505],
[ 0.21595 , 0.203862, 0.197887, 0. , 0.206866, 0.206866,
0.07956 , 0.066935, 0.203862, 0.206866],
[ 0.056853, 0.0208 , 0.018459, 0.206866, 0. , 0.056853,
0.203862, 0.21595 , 0.0138 , 0.0208 ],
[ 0.0138 , 0.039806, 0.056853, 0.206866, 0.056853, 0. ,
0.197887, 0.209882, 0.056853, 0.064283],
[ 0.203862, 0.194917, 0.191958, 0.07956 , 0.203862, 0.197887,
0. , 0.030311, 0.200869, 0.206866],
[ 0.219002, 0.21291 , 0.203862, 0.066935, 0.21595 , 0.209882,
0.030311, 0. , 0.21291 , 0.219002],
[ 0.056853, 0.0208 , 0.018459, 0.203862, 0.0138 , 0.056853,
0.200869, 0.21291 , 0. , 0.011481],
[ 0.064283, 0.027869, 0.025505, 0.206866, 0.0208 , 0.064283,
0.206866, 0.219002, 0.011481, 0. ]])
mds_coords = numpy.array([
[ 0.065233, 0.035019, 0.015413],
[ 0.059604, 0.00168 , -0.003254],
[ 0.052371, -0.010959, -0.014047],
[-0.13804 , -0.036031, 0.031628],
[ 0.063703, -0.015483, -0.00751 ],
[ 0.056803, 0.031762, 0.021767],
[-0.135082, 0.023552, -0.021006],
[-0.150323, 0.011935, -0.010013],
[ 0.06072 , -0.01622 , -0.007721],
[ 0.065009, -0.025254, -0.005257]])
return (distmat, mds_coords)
class GoodnessOfFitTestCase(unittest.TestCase):
def setUp(self):
"""
set up
"""
(self.distmat, self.mds_coords) = example_distmat_and_mdscoords()
self.stress = goodness_of_fit.Stress(self.distmat, self.mds_coords)
def test_kruskalstress1(self):
"""
testing goodness_of_fit.calcKruskalStress()
"""
val = "%0.6f" % self.stress.calcKruskalStress()
self.assertEqual(val, '0.022555')
def test_sstress(self):
"""
testing goodness_of_fit.calcSstress()
"""
val = "%0.6f" % self.stress.calcSstress()
self.assertEqual(val, '0.008832')
def test_calc_pwdist(self):
"""
testing (private) goodness_of_fit._calc_pwdist
"""
# this is a square in 2D
square_mds = numpy.array([[0,0], [1,0], [1,1], [0,1]])
# this is what the distance matrix should look like
square_distmat = numpy.array([[ 0. , 1. , 1.41421356, 1. ],
[ 1. , 0. , 1. , 1.41421356],
[ 1.41421356, 1. , 0. , 1. ],
[ 1. , 1.41421356, 1. , 0. ]])
derived_distmat = self.stress._calc_pwdist(square_mds)
# check if dervied and original array are (more or less) the same
self.assert_((derived_distmat-square_distmat).sum() < 0.000001)
def test_argument_mixup_exception(self):
"""
test if mds_coords and distmat are mix-up is detected
"""
self.assertRaises(AssertionError,
goodness_of_fit.Stress,
self.mds_coords, self.distmat)
# should give something like
# AssertionError: orig_distmat shape bigger than mds_coords shape. Possible argument mixup
def test_size_exception(self):
"""
test if check on number of rows works
"""
self.assertRaises(AssertionError,
goodness_of_fit.Stress,
self.distmat, self.mds_coords.transpose())
# should give something like
# AssertionError: orig_distmat and mds_coords do not have the same number of rows/objects.
if __name__ == '__main__':
unittest.main()
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