def test02(self):
"""
Test special handling for matrices of size (2,2): these never
fail.
"""
mat = numpy.matrix([0, 0.02, 0.02, 0])
mat.shape = (2,2)
is_outlier = outliers.outliers(mat, cutoff = 0.015)
self.assertFalse(any(is_outlier))
is_outlier = outliers.outliers(mat, cutoff = 0.025)
self.assertFalse(any(is_outlier))
def test_outliers_01(self):
_, _, is_outlier = outliers.outliers(self.mat, radius=0.015)
out = {t for t, o in zip(self.taxa, is_outlier) if o}
self.assertEqual(len(out), 7)
def test_outliers_01(self):
_, _, is_outlier = outliers.outliers(self.mat, radius=0.015)
out = {t for t, o in zip(self.taxa, is_outlier) if o}
self.assertEqual(len(out), 7)
def test01(self):
with open(data_path('e_faecium.distmat')) as f:
taxa, mat = outliers.read_dists(f)
is_outlier = outliers.outliers(mat, cutoff = 0.015)
out = {t for t,o in zip(taxa, is_outlier) if o}
self.assertEqual(len(out), 7)
