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# pylint: disable=protected-access
import unittest
from unittest.mock import patch
import numpy as np
from Orange.data import ContinuousVariable, StringVariable, Table, Domain
from Orange.misc import DistMatrix
class DistMatrixTest(unittest.TestCase):
def test_reader_selection(self):
with patch("Orange.misc._distmatrix_xlsx.read_matrix") as read_matrix, \
patch.object(DistMatrix, "_from_dst") as _from_dst:
read_matrix.return_value = (np.zeros((3, 4)), None, None, 1)
_from_dst.return_value = (np.zeros((2, 2)), None, None, 1)
matrix = DistMatrix.from_file("test.dst")
self.assertEqual(matrix.shape, (2, 2))
matrix = DistMatrix.from_file("test.xlsx")
self.assertEqual(matrix.shape, (3, 4))
def test_auto_symmetricized_result(self):
data = np.array([[np.nan, np.nan, np.nan],
[1528.13, np.nan, np.nan],
[1497.61, 999.25, np.nan],
[1062.89, 1372.59, 651.62]])
exp_sym = np.array([[1528.13, 1497.61, 1062.89],
[1497.61, 999.25, 1372.59],
[1062.89, 1372.59, 651.62]])
labels = list("ABC")
for ri, li in ((labels, labels),
(labels, None),
(None, labels),
(None, None)):
matrix = DistMatrix(data[1:], ri, li)
sym = matrix.auto_symmetricized()
np.testing.assert_almost_equal(sym, exp_sym)
self.assertEqual(sym.row_items, sym.col_items)
self.assertIs((ri or li), sym.row_items)
matrix = DistMatrix(data[1:].T)
sym = matrix.auto_symmetricized()
np.testing.assert_almost_equal(sym, exp_sym)
labels = list("ABCD")
data[1, 1] = 2
exp_sym = np.array(
[[ 0. , 1528.13, 1497.61, 1062.89],
[1528.13, 2. , 999.25, 1372.59],
[1497.61, 999.25, 0. , 651.62],
[1062.89, 1372.59, 651.62, 0. ]])
matrix = DistMatrix(data, labels)
sym = matrix.auto_symmetricized()
np.testing.assert_almost_equal(sym, exp_sym)
matrix = DistMatrix(data.T, None, labels)
sym = matrix.auto_symmetricized()
np.testing.assert_almost_equal(sym, exp_sym)
def test_auto_symmetricized_dont_apply(self):
data = DistMatrix(np.array([[np.nan, np.nan]] * 3 + [[1, np.nan]]))
self.assertIs(data.auto_symmetricized(), data)
data = np.array([[np.nan, np.nan, 1],
[1528.13, np.nan, np.nan],
[1497.61, 999.25, np.nan],
[1062.89, 1372.59, 651.62]])
matrix = DistMatrix(data)
self.assertIs(matrix.auto_symmetricized(), matrix)
data = np.array([[np.nan, np.nan, 1],
[1528.13, np.nan, np.nan],
[1497.61, 999.25, np.nan],
[1062.89, 1372.59, 651.62]])
matrix = DistMatrix(data)
sym = matrix.auto_symmetricized(copy=True)
np.testing.assert_equal(matrix, sym)
self.assertIsNot(sym, matrix)
matrix = DistMatrix(data.T)
self.assertIs(matrix.auto_symmetricized(), matrix)
data = np.array([[np.nan, np.nan, np.nan],
[1528.13, np.nan, np.nan],
[1497.61, 999.25, np.nan],
[1062.89, 1372.59, 651.62]])
matrix = DistMatrix(data, None, list("abc"))
self.assertIs(matrix.auto_symmetricized(), matrix)
matrix = DistMatrix(data.T, list("abc"))
self.assertIs(matrix.auto_symmetricized(), matrix)
data = np.array([[1528.13, np.nan, np.nan],
[1497.61, 999.25, np.nan],
[1062.89, 1372.59, 651.62]])
matrix = DistMatrix(data, list("def"), list("abc"))
self.assertIs(matrix.auto_symmetricized(), matrix)
def test_trivial_labels(self):
matrix = DistMatrix(np.array([[1, 2, 3], [4, 5, 6]]))
self.assertFalse(matrix._trivial_labels(matrix.row_items))
self.assertIsNone(matrix.get_labels(matrix.row_items))
matrix.row_items = list("abc")
self.assertTrue(matrix._trivial_labels(matrix.row_items))
self.assertEqual(matrix.get_labels(matrix.row_items), list("abc"))
matrix.row_items = ["a", 1, "c"]
self.assertFalse(matrix._trivial_labels(matrix.row_items))
self.assertIsNone(matrix.get_labels(matrix.row_items))
c1, c2 = (ContinuousVariable(c) for c in "xy")
s1, s2 = (StringVariable(c) for c in "st")
data = Table.from_list(Domain([c1], None, [c2, s1]),
[[1, 0, "a"], [2, 2, "b"], [3, 1, "c"]])
matrix.row_items = data
matrix.axis = 1
self.assertTrue(matrix._trivial_labels(matrix.row_items))
self.assertEqual(list(matrix.get_labels(matrix.row_items)), list("abc"))
matrix.axis = 0
self.assertTrue(matrix._trivial_labels(matrix.row_items))
self.assertEqual(list(matrix.get_labels(matrix.row_items)), list("x"))
data = Table.from_list(Domain([c1], None, [c2, s1, s2]),
[[1, 2, "a", "2"],
[2, 4, "b", "5"],
[3, 0, "c", "g"]])
matrix.row_items = data
matrix.axis = 1
self.assertFalse(matrix._trivial_labels(matrix.row_items))
self.assertIsNone(matrix.get_labels(matrix.row_items))
matrix.axis = 0
self.assertTrue(matrix._trivial_labels(matrix.row_items))
self.assertEqual(list(matrix.get_labels(matrix.row_items)), list("x"))
data = Table.from_list(Domain([c1], None, [c2]),
[[1, 2],
[2, 4],
[3, 0]])
matrix.row_items = data
matrix.axis = 1
self.assertFalse(matrix._trivial_labels(matrix.row_items))
self.assertIsNone(matrix.get_labels(matrix.row_items))
matrix.axis = 0
self.assertTrue(matrix._trivial_labels(matrix.row_items))
self.assertEqual(matrix.get_labels(matrix.row_items), list("x"))
if __name__ == "__main__":
unittest.main()
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