def test_link_clustering(matrix, taxa):
similarity_matrix = [[1 - cell for cell in row] for row in matrix]
for val in [True, False]:
for val2 in [True, False]:
link_clustering(0.5,
matrix,
taxa,
matrix_type="distances",
revert=val,
fuzzy=val2)
link_clustering(0.5,
similarity_matrix,
taxa,
matrix_type="similarities",
revert=val,
fuzzy=val2)
link_clustering(0.5,
similarity_matrix,
taxa,
matrix_type="weights",
revert=val,
fuzzy=val2)
with pytest.raises(ValueError):
link_clustering(0.5, matrix, taxa, matrix_type="dummy")
def test_link_clustering(self):
similarity_matrix = [[1 - cell for cell in row] for row in self.matrix]
for val in [True, False]:
for val2 in [True, False]:
link_clustering(0.5,
self.matrix,
self.taxa,
matrix_type="distances",
revert=val,
fuzzy=val2)
link_clustering(0.5,
similarity_matrix,
self.taxa,
matrix_type="similarities",
revert=val,
fuzzy=val2)
link_clustering(0.5,
similarity_matrix,
self.taxa,
matrix_type="weights",
revert=val,
fuzzy=val2)
assert_raises(ValueError,
link_clustering,
0.5,
self.matrix,
self.taxa,
matrix_type="dummy")
def test_link_clustering(self):
from lingpy.algorithm.clustering import link_clustering
similarity_matrix = [[1-cell for cell in row] for row in self.matrix]
for val in [True,False]:
for val2 in [True, False]:
link_clustering(0.5, self.matrix, self.taxa,
matrix_type="distances", revert=val, fuzzy=val2)
link_clustering(0.5, similarity_matrix, self.taxa,
matrix_type="similarities", revert=val, fuzzy=val2)
link_clustering(0.5, similarity_matrix, self.taxa,
matrix_type="weights", revert=val, fuzzy=val2)
assert_raises(ValueError, link_clustering, 0.5, self.matrix, self.taxa,
matrix_type="dummy")
def test_link_clustering(self):
from lingpy.algorithm.clustering import link_clustering
for mt in {"distances", "similarities", "weights"}:
link_clustering(0.5, [[1, 0], [0, 1]], ['a', 'b'], matrix_type=mt)
def test_link_clustering(self):
from lingpy.algorithm.clustering import link_clustering
for mt in {"distances", "similarities", "weights"}:
link_clustering(0.5, [[1, 0], [0, 1]], ['a', 'b'], matrix_type=mt)