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import unittest
import warnings
from unittest.mock import Mock
import numpy as np
from Orange.data.util import scale, one_hot, SharedComputeValue
import Orange
class TestDataUtil(unittest.TestCase):
def test_scale(self):
np.testing.assert_equal(scale([0, 1, 2], -1, 1), [-1, 0, 1])
np.testing.assert_equal(scale([3, 3, 3]), [1, 1, 1])
np.testing.assert_equal(scale([.1, .5, np.nan]), [0, 1, np.nan])
np.testing.assert_equal(scale(np.array([])), np.array([]))
def test_one_hot(self):
np.testing.assert_equal(
one_hot([0, 1, 2, 1], int), [[1, 0, 0],
[0, 1, 0],
[0, 0, 1],
[0, 1, 0]])
np.testing.assert_equal(one_hot([], int), np.zeros((0, 0), dtype=int))
class DummyPlus(SharedComputeValue):
def compute(self, data, shared_data):
return data.X[:, 0] + shared_data
class DummyTable(Orange.data.Table):
pass
class TestSharedComputeValue(unittest.TestCase):
def test_compat_compute_value(self):
data = Orange.data.Table("iris")
obj = DummyPlus(lambda data: 1.)
res = obj(data)
obj = lambda data: data.X[:, 0] + 1.
res2 = obj(data)
np.testing.assert_equal(res, res2)
def test_with_row_indices(self):
obj = DummyPlus(lambda data: 1.)
data = Orange.data.Table("iris")
domain = Orange.data.Domain([Orange.data.ContinuousVariable("cv", compute_value=obj)])
data1 = Orange.data.Table.from_table(domain, data)[:10]
data2 = Orange.data.Table.from_table(domain, data, range(10))
np.testing.assert_equal(data1.X, data2.X)
def test_single_call(self):
obj = DummyPlus(Mock(return_value=1))
self.assertEqual(obj.compute_shared.call_count, 0)
data = Orange.data.Table("iris")[45:55] # two classes
domain = Orange.data.Domain([at.copy(compute_value=obj)
for at in data.domain.attributes],
data.domain.class_vars)
Orange.data.Table.from_table(domain, data)
self.assertEqual(obj.compute_shared.call_count, 1)
ndata = Orange.data.Table.from_table(domain, data)
self.assertEqual(obj.compute_shared.call_count, 2)
#the learner performs imputation
c = Orange.classification.LogisticRegressionLearner()(ndata)
self.assertEqual(obj.compute_shared.call_count, 2)
c(data) #the new data should be converted with one call
self.assertEqual(obj.compute_shared.call_count, 3)
#test with descendants of table
DummyTable.from_table(c.domain, data)
self.assertEqual(obj.compute_shared.call_count, 4)
def test_compute_shared_eq_warning(self):
with warnings.catch_warnings(record=True) as warns:
DummyPlus(compute_shared=lambda *_: 42)
class Valid:
def __eq__(self, other):
pass
def __hash__(self):
pass
DummyPlus(compute_shared=Valid())
self.assertEqual(warns, [])
class Invalid:
pass
DummyPlus(compute_shared=Invalid())
self.assertNotEqual(warns, [])
with warnings.catch_warnings(record=True) as warns:
class MissingHash:
def __eq__(self, other):
pass
DummyPlus(compute_shared=MissingHash())
self.assertNotEqual(warns, [])
with warnings.catch_warnings(record=True) as warns:
class MissingEq:
def __hash__(self):
pass
DummyPlus(compute_shared=MissingEq())
self.assertNotEqual(warns, [])
with warnings.catch_warnings(record=True) as warns:
class Subclass(Valid):
pass
DummyPlus(compute_shared=Subclass())
self.assertNotEqual(warns, [])
def test_eq_hash(self):
x = Orange.data.ContinuousVariable("x")
y = Orange.data.ContinuousVariable("y")
x2 = Orange.data.ContinuousVariable("x")
assert x == x2
assert hash(x) == hash(x2)
assert x != y
assert hash(x) != hash(y)
c1 = SharedComputeValue(abs, x)
c2 = SharedComputeValue(abs, x2)
d = SharedComputeValue(abs, y)
e = SharedComputeValue(len, x)
self.assertNotEqual(c1, None)
self.assertEqual(c1, c2)
self.assertEqual(hash(c1), hash(c2))
self.assertNotEqual(c1, d)
self.assertNotEqual(hash(c1), hash(d))
self.assertNotEqual(c1, e)
self.assertNotEqual(hash(c1), hash(e))
def test_eq_hash_inheritance(self):
class NoFlag:
pass
class WithFlag:
InheritEq = True
x = Orange.data.ContinuousVariable("x")
self.assertWarnsRegex(
UserWarning, ".*define __eq__ and __hash__.*",
SharedComputeValue, NoFlag(), x)
with warnings.catch_warnings(record=True) as w:
warnings.simplefilter("always")
SharedComputeValue(WithFlag(), x)
self.assertEqual(len(w), 0)
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