def test_cluster_feature_dist():
c1 = ClusterFeature("chr1", 1, 2, range(5))
c2 = ClusterFeature("chr1", 1, 2, range(5))
assert c1.distance(c2) == 0
c2.start, c2.end = 3, 4
assert c1.distance(c2) == 1
c2.start, c2.end = 0, 1000
assert c1.distance(c2) == 0
assert c2.distance(c1) == 0
c2.group = "chr2"
assert c1.distance(c2) > 1e8
def test_cluster_feature():
c = ClusterFeature('chr1', 1, 2, range(5))
yield check_equal, c.group, 'chr1'
yield check_equal, c.start, 1
yield check_equal, c.end, 2
yield check_equal, c.values, range(5)
def test_cluster_corr():
c1 = ClusterFeature('chr1', 1, 2, range(5))
assert c1.is_correlated(c1)
c2 = ClusterFeature('chr1', 1, 2, [-x for x in range(5)])
assert not c1.is_correlated(c2)
def test_cluster_feature_dist():
c1 = ClusterFeature('chr1', 1, 2, range(5))
c2 = ClusterFeature('chr1', 1, 2, range(5))
assert c1.distance(c2) == 0
c2.start, c2.end = 3, 4
assert c1.distance(c2) == 1
c2.start, c2.end = 0, 1000
assert c1.distance(c2) == 0
assert c2.distance(c1) == 0
c2.group = "chr2"
assert c1.distance(c2) > 1e8
def test_cluster_corr():
c1 = ClusterFeature("chr1", 1, 2, range(5))
assert c1.is_correlated(c1)
c2 = ClusterFeature("chr1", 1, 2, [-x for x in range(5)])
assert not c1.is_correlated(c2)
