def test_same_set():
"""A set should be clustered with itself"""
s = randset()
cluster = Cluster()
cluster.add_set(s)
cluster.add_set(s)
assert len(cluster.get_sets()) == 1
def test_same_set():
"""A set should be clustered with itself"""
s = randset()
cluster = Cluster()
cluster.add_set(s)
cluster.add_set(s)
assert len(cluster.get_sets()) == 1
def test_dissimilar_sets():
"""Two non-similar sets should not be clustered"""
cluster = Cluster()
cluster.add_set("12345abcdef")
cluster.add_set("1234567890z")
print cluster.get_sets()
assert len(cluster.get_sets()) == 2
def test_dissimilar_sets():
"""Two non-similar sets should not be clustered"""
cluster = Cluster()
cluster.add_set("12345abcdef")
cluster.add_set("1234567890z")
print cluster.get_sets()
assert len(cluster.get_sets()) == 2
def test_cluster_threshold():
"""Expected error for threshold to similarity should be reasonable"""
n_tests = 50
dim = 15
expected_error = 0.20
tot_err = 0
for test in range(n_tests):
# Get some sets and their similarities
sets = (randset(), randset())
jsim = jaccard_sim(*sets)
# Find the threshold at which they cluster together
for threshold in range(1, 100, 5):
threshold = float(threshold) / 100
cluster = Cluster(dim, threshold)
cluster.add_set(sets[0])
cluster.add_set(sets[1])
if len(cluster.get_sets()) == 2:
tot_err += abs(jsim - threshold)
break
avg_err = float(tot_err) / n_tests
assert avg_err <= expected_error
def test_cluster_threshold():
"""Expected error for threshold to similarity should be reasonable"""
n_tests = 50
dim = 15
expected_error = 0.20
tot_err = 0
for test in range(n_tests):
# Get some sets and their similarities
sets = (randset(), randset())
jsim = jaccard_sim(*sets)
# Find the threshold at which they cluster together
for threshold in range(1, 100, 5):
threshold = float(threshold) / 100
cluster = Cluster(dim, threshold)
cluster.add_set(sets[0])
cluster.add_set(sets[1])
if len(cluster.get_sets()) == 2:
tot_err += abs(jsim - threshold)
break
avg_err = float(tot_err) / n_tests
assert avg_err <= expected_error
def test_similar_sets():
"""Two similar sets should be clustered"""
cluster = Cluster()
cluster.add_set("abcdefg")
cluster.add_set("abcdefghi")
assert len(cluster.get_sets()) == 1
def test_similar_sets():
"""Two similar sets should be clustered"""
cluster = Cluster()
cluster.add_set("abcdefg")
cluster.add_set("abcdefghi")
assert len(cluster.get_sets()) == 1
