def test_fuzzy2(self, nx):
from lingpy.algorithm.clustering import fuzzy
for method in 'upgma simple complete'.split():
for revert in [True, False]:
fuzzy(0.5, [[1, 0], [0, 1]], ['a', 'b'],
method=method,
revert=revert)
def test_fuzzy(self):
from lingpy.algorithm.clustering import fuzzy
for method in 'upgma simple complete'.split():
for revert in [True, False]:
fuzzy(0.5,
self.matrix,
self.taxa,
method=method,
revert=revert)
def test_fuzzy1(self):
from lingpy.algorithm.clustering import fuzzy
assert fuzzy(0.5, [[1, 0], [0, 1]], ['a', 'b']) is None
def test_fuzzy2(self, nx):
from lingpy.algorithm.clustering import fuzzy
for method in 'upgma simple complete'.split():
for revert in [True, False]:
fuzzy(0.5, [[1, 0], [0, 1]], ['a', 'b'], method=method, revert=revert)
def test_fuzzy1(self):
from lingpy.algorithm.clustering import fuzzy
assert fuzzy(0.5, [[1, 0], [0, 1]], ['a', 'b']) is None
def test_fuzzy(self):
from lingpy.algorithm.clustering import fuzzy
for method in 'upgma simple complete'.split():
for revert in [True, False]:
fuzzy(0.5, self.matrix, self.taxa, method=method, revert=revert)