def test_same_set():
"""A set should be clustered with itself"""
s = lshhdc.utils.randset()
cluster = lshhdc.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 = lshhdc.cluster.Cluster()
cluster.add_set("12345abcdef")
cluster.add_set("1234567890z")
print cluster.get_sets()
assert len(cluster.get_sets()) == 2
def test_names():
data_dir = os.path.join(os.path.abspath(os.path.dirname(__file__)), 'data')
names = open('{}/{}'.format(data_dir, 'sample-data.txt'), 'r').readlines()
names = [name.strip().lower().replace('\n', '') for name in names if name]
cluster = lshhdc.cluster.Cluster(threshold=0.5)
for name in set(names):
cluster.add_set(lshhdc.utils.shingle(name, 5), name)
assert len(cluster.get_sets()) == 6
def test_names():
data_dir = os.path.join(os.path.abspath(os.path.dirname(__file__)), "data")
names = open("{}/{}".format(data_dir, "sample-data.txt"), "r").readlines()
names = [name.strip().lower().replace("\n", "") for name in names if name]
cluster = lshhdc.cluster.Cluster(threshold=0.5)
for name in set(names):
cluster.add_set(lshhdc.utils.shingle(name, 5), name)
assert len(cluster.get_sets()) == 6
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 = (lshhdc.utils.randset(), lshhdc.utils.randset())
jsim = lshhdc.utils.jaccard_sim(*sets)
# Find the threshold at which they cluster together
for threshold in range(1, 100, 5):
threshold = float(threshold) / 100
cluster = lshhdc.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 = lshhdc.cluster.Cluster()
cluster.add_set("abcdefg")
cluster.add_set("abcdefghi")
assert len(cluster.get_sets()) == 1
