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distances: Remove inapplicable old tests
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@janezd
janezd committed Jul 13, 2017
1 parent d67f6bb commit 5e1abd9
Showing 1 changed file with 0 additions and 39 deletions.
39 changes: 0 additions & 39 deletions Orange/tests/test_distances.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,6 @@
# pylint: disable=missing-docstring

from unittest import TestCase
import os
import pickle

import numpy as np
Expand Down Expand Up @@ -214,11 +213,6 @@ def test_euclidean_distance_many_examples(self):
np.testing.assert_almost_equal(self.dist(self.iris[:2], self.iris[:3]),
np.array([[0., 0.53851648, 0.50990195],
[0.53851648, 0., 0.3]]))
np.testing.assert_almost_equal(self.dist(self.iris[:2], self.iris[:2], axis=0),
np.array([[0., 2.48394847, 5.09313263, 6.78969808],
[2.48394847, 0., 2.64007576, 4.327817],
[5.09313263, 2.64007576, 0., 1.69705627],
[6.78969808, 4.327817, 1.69705627, 0.]]))

def test_euclidean_distance_sparse(self):
np.testing.assert_almost_equal(self.dist(self.sparse),
Expand Down Expand Up @@ -281,11 +275,6 @@ def test_manhattan_distance_many_examples(self):
np.testing.assert_almost_equal(self.dist(self.iris[:2], self.iris[:3]),
np.array([[0., 0.7, 0.8],
[0.7, 0., 0.5]]))
np.testing.assert_almost_equal(self.dist(self.iris[:2], self.iris[:2], axis=0),
np.array([[0., 3.5, 7.2, 9.6],
[3.5, 0., 3.7, 6.1],
[7.2, 3.7, 0., 2.4],
[9.6, 6.1, 2.4, 0.]]))

def test_manhattan_distance_sparse(self):
np.testing.assert_almost_equal(self.dist(self.sparse),
Expand Down Expand Up @@ -347,11 +336,6 @@ def test_cosine_distance_many_examples(self):
np.testing.assert_almost_equal(self.dist(self.iris[:2], self.iris[:3]),
np.array([[0.0, 1.42083650e-03, 1.26527175e-05],
[1.42083650e-03, 0.0, 1.20854727e-03]]))
np.testing.assert_almost_equal(self.dist(self.iris[:2], self.iris[:2], axis=0),
np.array([[0.0, 1.61124231e-03, 1.99940020e-04, 1.99940020e-04],
[1.61124231e-03, 0.0, 2.94551450e-03, 2.94551450e-03],
[1.99940020e-04, 2.94551450e-03, 0.0, 0.0],
[1.99940020e-04, 2.94551450e-03, 0.0, 0.0]]))

def test_cosine_distance_sparse(self):
np.testing.assert_almost_equal(self.dist(self.sparse),
Expand Down Expand Up @@ -413,10 +397,6 @@ def test_jaccard_distance_many_examples(self):
np.testing.assert_almost_equal(self.dist(self.titanic[:2], self.titanic[:3]),
np.array([[0., 0., 0.5],
[0., 0., 0.5]]))
np.testing.assert_almost_equal(self.dist(self.titanic, self.titanic, axis=0),
np.array([[0., 1., 0.5],
[1., np.nan, 1.],
[0.5, 1., 0.]]))

def test_jaccard_distance_numpy(self):
np.testing.assert_almost_equal(self.dist(self.titanic[0].x, self.titanic[2].x, axis=1), np.array([[0.5]]))
Expand Down Expand Up @@ -771,14 +751,6 @@ def test_iris(self):
self.assertEqual(metric(tab).shape, (150, 150))
self.assertEqual(metric(tab[0], tab[1]).shape, (1, 1))

def test_axis(self):
mah = MahalanobisDistance(self.x, axis=1)
self.assertEqual(mah(self.x, self.x).shape, (self.n, self.n))
x = self.x.T
mah = MahalanobisDistance(x, axis=0)
self.assertRaises(AssertionError, mah, x, axis=1)
self.assertEqual(mah(x, x).shape, (self.n, self.n))

def test_dimensions(self):
x = Table('iris')[:20].X
xt = Table('iris')[:20].X.T
Expand All @@ -787,17 +759,6 @@ def test_dimensions(self):
mah = MahalanobisDistance(xt)
mah(xt[0], xt[1])

def test_global_is_borked(self):
"""
Test that the global state retaining non-safe Mahalanobis instance
raises RuntimeErrors on all invocations
"""
from Orange.distance import Mahalanobis
with self.assertRaises(RuntimeError):
Mahalanobis.fit(self.x)
with self.assertRaises(RuntimeError):
Mahalanobis(self.x)


class TestDistances(TestCase):
@classmethod
Expand Down

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