1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
|
# Test methods with long descriptive names can omit docstrings
# pylint: disable=missing-docstring
import warnings
import numpy as np
from scipy.sparse import csr_matrix, SparseEfficiencyWarning
from Orange import data
from Orange.data import Table
from Orange.tests import test_table as tabletests
class InterfaceTest(tabletests.InterfaceTest):
def setUp(self):
super().setUp()
self.table = data.Table.from_numpy(
self.domain,
csr_matrix(self.table.X),
csr_matrix(self.table.Y),
)
def test_row_assignment(self):
# This warning will appear in actual code that assigns rows of
# sparse matrix, which is OK, but We don't need it in test outputs
warnings.filterwarnings("ignore", ".*", SparseEfficiencyWarning)
super().test_row_assignment()
def test_value_assignment(self):
# This warning will appear in actual code that assigns rows of
# sparse matrix, which is OK, but We don't need it in test outputs
warnings.filterwarnings("ignore", ".*", SparseEfficiencyWarning)
super().test_value_assignment()
def test_str(self):
iris = Table('iris')
with iris.unlocked():
iris.X, iris.Y = csr_matrix(iris.X), csr_matrix(iris.Y)
str(iris)
def test_Y_setter_1d(self):
iris = Table('iris')
assert iris.Y.shape == (150,)
with iris.unlocked():
iris.Y = csr_matrix(iris.Y)
# We expect the Y shape to match the X shape, which is (150, 4) in iris
self.assertEqual(iris.Y.shape, (150,))
def test_Y_setter_2d(self):
iris = Table('iris')
assert iris.Y.shape == (150,)
# Convert iris.Y to (150, 1) shape
new_y = iris.Y[:, np.newaxis]
with iris.unlocked():
iris.Y = np.hstack((new_y, new_y))
iris.Y = csr_matrix(iris.Y)
# We expect the Y shape to match the X shape, which is (150, 4) in iris
self.assertEqual(iris.Y.shape, (150, 2))
def test_Y_setter_2d_single_instance(self):
iris = Table('iris')[:1]
# Convert iris.Y to (1, 1) shape
new_y = iris.Y[:, np.newaxis]
with iris.unlocked_reference():
iris.Y = np.hstack((new_y, new_y))
iris.Y = csr_matrix(iris.Y)
# We expect the Y shape to match the X shape, which is (1, 4) in iris
self.assertEqual(iris.Y.shape, (1, 2))
|
