def test_finiteMetricSpaceLP_uniform(self, exampleClusterArch):
testSpace = exampleClusterArch
testProdSpace = FiniteMetricSpaceLP(testSpace, d=3)
result = testProdSpace.uniform()
for value in result:
assert (testProdSpace.dist([3, 2, 7],
testProdSpace.int2Tuple(value)) <= 5)
def test_finiteMetricSpaceLP_uniformFromBall2(self, exampleClusterArch):
testSpace = exampleClusterArch
testProdSpace = FiniteMetricSpaceLP(testSpace, d=3)
uniformFromFourBall = testProdSpace.uniformFromBall([3, 2, 7], 4, 10)
result = list(map(testProdSpace.int2Tuple, uniformFromFourBall))
result = list(map(testProdSpace.tuple2Int, result))
assert result == uniformFromFourBall
def test_finiteMetricSpaceLP_uniformFromBall1(self, exampleClusterArch):
testSpace = exampleClusterArch
testProdSpace = FiniteMetricSpaceLP(testSpace, d=3)
uniformFromFourBall = testProdSpace.uniformFromBall([3, 2, 7], 4, 10)
assert len(uniformFromFourBall) == 10
for value in uniformFromFourBall:
assert (testProdSpace.dist(testProdSpace.tuple2Int([3, 2, 7]),
value) <= 4.0)
def test_finiteMetricSpaceLP_dist(self, exampleClusterArch):
testSpace = exampleClusterArch
testProdSpace = FiniteMetricSpaceLP(testSpace, d=3)
uniformFromFourBall = testProdSpace.uniformFromBall([3, 2, 7], 4, 10)
result = []
for j in uniformFromFourBall:
result.append(
testProdSpace.dist(testProdSpace.tuple2Int([3, 2, 7]), j))
assert len(result) == 10
for value in result:
assert value <= 4.0
def test_finiteMetricSpaceLP_ball2(self, exampleClusterArch):
testSpace = exampleClusterArch
testProdSpace = FiniteMetricSpaceLP(testSpace, d=3)
oneBall = testProdSpace.ball([3, 2, 7], 1)
result = list(map(testProdSpace.int2Tuple, oneBall))
assert result == [
[3, 2, 4],
[3, 2, 5],
[3, 2, 6],
[3, 0, 7],
[3, 1, 7],
[0, 2, 7],
[1, 2, 7],
[2, 2, 7],
[3, 2, 7],
[3, 3, 7],
]
def test_Evec(self, exampleClusterArch, dimension):
M = exampleClusterArch
MLP = FiniteMetricSpaceLP(M, dimension, p=2)
Evec = MetricSpaceEmbedding(M, dimension)
in1 = [1, 0, 1, 1, 3]
in2 = [0, 0, 2, 1, 0]
dist = MLP.dist(in1, in2)
evec1 = Evec.i(in1)
evec2 = Evec.i(in2)
assert len(evec1) == dimension
assert len(evec1[0]) == M.n
dist_embedded = np.linalg.norm(
np.array(evec1).flatten() - np.array(evec2).flatten()
)
assert (
dist / Evec.distortion < dist_embedded
and dist_embedded < dist * Evec.distortion
)
def test_finiteMetricSpaceLP_ball1(self, exampleClusterArch):
testSpace = exampleClusterArch
testProdSpace = FiniteMetricSpaceLP(testSpace, d=3)
result = len(testProdSpace.ball([3, 2, 7], 4))
assert result == 1072
def test_finiteMetricSpaceLP_oneBall(self, exampleClusterArch):
testSpace = exampleClusterArch
testProdSpace = FiniteMetricSpaceLP(testSpace, d=3)
oneBall = testProdSpace.ball([3, 2, 7], 1)
assert len(oneBall) == 10
def test_finiteMetricSpaceLP_calc(self, exampleClusterArch):
testSpace = exampleClusterArch
testProdSpace = FiniteMetricSpaceLP(testSpace, d=3)
result = testProdSpace._distCalc([3, 2, 7], [3, 0, 4])
assert result == 2.0