def test_form(self):
m = [[0, 2, 3, 4], [2, 0, 6, 7], [3, 6, 0, 8], [4, 7, 8, 0]]
m = numpy.array(m)
dist = hierarchical.condensedform(m, mode="lower")
numpy.testing.assert_equal(dist, numpy.array([2, 3, 6, 4, 7, 8]))
numpy.testing.assert_equal(hierarchical.squareform(dist, mode="lower"),
m)
dist = hierarchical.condensedform(m, mode="upper")
numpy.testing.assert_equal(dist, numpy.array([2, 3, 4, 6, 7, 8]))
numpy.testing.assert_equal(hierarchical.squareform(dist, mode="upper"),
m)
def test_form(self):
m = [[0, 2, 3, 4],
[2, 0, 6, 7],
[3, 6, 0, 8],
[4, 7, 8, 0]]
m = numpy.array(m)
dist = hierarchical.condensedform(m, mode="lower")
numpy.testing.assert_equal(dist, numpy.array([2, 3, 6, 4, 7, 8]))
numpy.testing.assert_equal(
hierarchical.squareform(dist, mode="lower"), m)
dist = hierarchical.condensedform(m, mode="upper")
numpy.testing.assert_equal(dist, numpy.array([2, 3, 4, 6, 7, 8]))
numpy.testing.assert_equal(
hierarchical.squareform(dist, mode="upper"), m)
def setUpClass(cls):
m = [
[],
[3],
[2, 4],
[17, 5, 4],
[2, 8, 3, 8],
[7, 5, 10, 11, 2],
[8, 4, 1, 5, 11, 13],
[4, 7, 12, 8, 10, 1, 5],
[13, 9, 14, 15, 7, 8, 4, 6],
[12, 10, 11, 15, 2, 5, 7, 3, 1],
]
cls.items = [
"Ann",
"Bob",
"Curt",
"Danny",
"Eve",
"Fred",
"Greg",
"Hue",
"Ivy",
"Jon",
]
dist = numpy.array(list(flatten(m)), dtype=float)
matrix = hierarchical.squareform(dist, mode="lower")
cls.m = m
cls.matrix = Orange.misc.DistMatrix(matrix)
cls.matrix.items = cls.items
cls.cluster = hierarchical.dist_matrix_clustering(cls.matrix)
def setUpClass(cls):
m = [[],
[3],
[2, 4],
[17, 5, 4],
[2, 8, 3, 8],
[7, 5, 10, 11, 2],
[8, 4, 1, 5, 11, 13],
[4, 7, 12, 8, 10, 1, 5],
[13, 9, 14, 15, 7, 8, 4, 6],
[12, 10, 11, 15, 2, 5, 7, 3, 1]]
cls.items = ["Ann", "Bob", "Curt", "Danny", "Eve", "Fred",
"Greg", "Hue", "Ivy", "Jon"]
dist = numpy.array(list(flatten(m)), dtype=float)
matrix = hierarchical.squareform(dist, mode="lower")
cls.m = m
cls.matrix = Orange.misc.DistMatrix(matrix)
cls.matrix.items = cls.items
cls.cluster = hierarchical.dist_matrix_clustering(cls.matrix)