def testCommonAndNumPyMetricsTwoDimension(self):
a = [1.2, 3.4]
b = [5.4, -7.1]
npa = numpy.array(a)
npb = numpy.array(b)
assertion.eq(metric.euclidean_distance(a, b),
metric.euclidean_distance_numpy(npa, npb))
assertion.eq(metric.euclidean_distance_square(a, b),
metric.euclidean_distance_square_numpy(npa, npb))
assertion.eq(metric.manhattan_distance(a, b),
metric.manhattan_distance_numpy(npa, npb))
assertion.eq(metric.chebyshev_distance(a, b),
metric.chebyshev_distance_numpy(npa, npb))
assertion.eq(metric.minkowski_distance(a, b, 2),
metric.minkowski_distance_numpy(npa, npb, 2))
assertion.eq(metric.minkowski_distance(a, b, 4),
metric.minkowski_distance_numpy(npa, npb, 4))
assertion.eq(metric.canberra_distance(a, b),
metric.canberra_distance_numpy(npa, npb))
assertion.eq(metric.chi_square_distance(a, b),
metric.chi_square_distance_numpy(npa, npb))
assertion.eq(metric.chi_square_distance(a, b),
metric.chi_square_distance_numpy(npa, npb))
gower = metric.distance_metric(metric.type_metric.GOWER,
data=[a, b],
numpy_usage=False)
gower_numpy = metric.distance_metric(metric.type_metric.GOWER,
data=[a, b],
numpy_usage=True)
assertion.eq(gower(a, b), gower_numpy(npa, npb))
def testChiSquareDistance(self):
assertion.eq(0.0, metric.chi_square_distance([0], [0]))
assertion.eq(
0.0,
metric.chi_square_distance_numpy(numpy.array([0]),
numpy.array([0])))
assertion.eq(2.0, metric.chi_square_distance([0.0, 0.0], [1.0, 1.0]))
assertion.eq(
2.0,
metric.chi_square_distance_numpy(numpy.array([0.0, 0.0]),
numpy.array([1.0, 1.0])))
assertion.eq(0.5, metric.chi_square_distance([0.75, 0.75],
[0.25, 0.25]))
assertion.eq(
0.5,
metric.chi_square_distance_numpy(numpy.array([0.75, 0.75]),
numpy.array([0.25, 0.25])))
assertion.eq(0.0, metric.chi_square_distance([-1.0, -1.0],
[-1.0, -1.0]))
assertion.eq(
0.0,
metric.chi_square_distance_numpy(numpy.array([-1.0, -1.0]),
numpy.array([-1.0, -1.0])))
assertion.eq(0.4, metric.chi_square_distance([-2.0, -2.0],
[-3.0, -3.0]))
assertion.eq(
0.4,
metric.chi_square_distance_numpy(numpy.array([-2.0, -2.0]),
numpy.array([-3.0, -3.0])))
def testChiSquareDistance(self):
assertion.eq(0.0, metric.chi_square_distance([0], [0]))
assertion.eq(0.0, metric.chi_square_distance_numpy(numpy.array([0]), numpy.array([0])))
assertion.eq(2.0, metric.chi_square_distance([0.0, 0.0], [1.0, 1.0]))
assertion.eq(2.0, metric.chi_square_distance_numpy(numpy.array([0.0, 0.0]), numpy.array([1.0, 1.0])))
assertion.eq(0.5, metric.chi_square_distance([0.75, 0.75], [0.25, 0.25]))
assertion.eq(0.5, metric.chi_square_distance_numpy(numpy.array([0.75, 0.75]), numpy.array([0.25, 0.25])))
assertion.eq(0.0, metric.chi_square_distance([-1.0, -1.0], [-1.0, -1.0]))
assertion.eq(0.0, metric.chi_square_distance_numpy(numpy.array([-1.0, -1.0]), numpy.array([-1.0, -1.0])))
assertion.eq(0.4, metric.chi_square_distance([-2.0, -2.0], [-3.0, -3.0]))
assertion.eq(0.4, metric.chi_square_distance_numpy(numpy.array([-2.0, -2.0]), numpy.array([-3.0, -3.0])))
