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add approx comparison to avoid failures in the tests #167

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Apr 7, 2020
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add approx comparison to avoid failures in the tests #167

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15 changes: 8 additions & 7 deletions python/tests/correlation/test_entropy.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3,6 +3,7 @@
import numpy
import math
from functools import partial
import pytest


def my_euclidean(a, b):
Expand All @@ -13,13 +14,13 @@ def test_entropy():
v = numpy.float_([[5, 5], [2, 2], [3, 3], [5, 1]])
entropy = partial(Entropy, p=3, k=2)

assert entropy()(v) == 1.014045451620507
assert entropy(metric=Euclidean())(v) == 1.014045451620507
assert entropy(metric=Manhatten())(v) == 1.582185490039048
assert entropy(metric=Chebyshev())(v) == -3.9489104772539405
assert entropy(metric=P_norm())(v) == 1.582185490039048
assert entropy(metric=P_norm(p=10))(v) == -1.6957132689132957
assert entropy(metric=my_euclidean)(v) == 1.014045451620507 # different value because of hardcoded Euclidean (p)
assert pytest.approx(entropy()(v), 1.014045451620507)
assert pytest.approx(entropy(metric=Euclidean())(v), 1.014045451620507)
assert pytest.approx(entropy(metric=Manhatten())(v), 1.582185490039048)
assert pytest.approx(entropy(metric=Chebyshev())(v), -3.9489104772539405)
assert pytest.approx(entropy(metric=P_norm())(v), 1.582185490039048)
assert pytest.approx(entropy(metric=P_norm(p=10))(v), -1.6957132689132957)
assert pytest.approx(entropy(metric=my_euclidean)(v), 1.014045451620507)


def test_estimate():
Expand Down