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# pylint: disable=missing-docstring,unsubscriptable-object
import os
import unittest
import numpy as np
from Orange.data import Table, StringVariable, Domain, DiscreteVariable
from Orange.widgets.tests.base import WidgetTest
from Orange.widgets.data.owsplit import \
OWSplit, SplitColumnOneHot, get_substrings, OneHotStrings, \
DiscreteEncoding, SplitColumnCounts, CountStrings
class TestComputation(unittest.TestCase):
def setUp(self):
domain = Domain(
[
DiscreteVariable("x", values=("a c d c bb bb bb", "bb d"))
],
None,
[
StringVariable("foo"),
StringVariable("bar")
])
self.data = Table.from_numpy(
domain,
np.array([[1], [0], [np.nan]]), None,
[["a,bbb,d,a,a", "e;f o"], ["", "f o"], ["bbb,d,bbb", "e;a;o"]]
)
class TestSplitColumn(TestComputation):
def test_get_string_values(self):
np.testing.assert_equal(
set(get_substrings({"a bc", "d,e", "", "f,a t", "t"}, " ")),
{"a", "bc", "d,e", "f,a", "t"})
np.testing.assert_equal(
set(get_substrings({"a bc", "d,e", "", "f,a t", "t"}, ",")),
{"a bc", "d", "e", "f", "a t", "t"})
def test_split_column_one_hot(self):
sc = SplitColumnOneHot(self.data, self.data.domain.metas[0], ",")
shared = sc(self.data)
self.assertEqual(set(sc.new_values), {"a", "bbb", "d"})
self.assertEqual(set(shared), set(sc.new_values))
np.testing.assert_equal(shared["a"], [0])
np.testing.assert_equal(shared["bbb"], [0, 2])
np.testing.assert_equal(shared["d"], [0, 2])
sc = SplitColumnOneHot(self.data, self.data.domain.metas[1], ";")
shared = sc(self.data)
self.assertEqual(set(sc.new_values), {"a", "e", "f o", "o"})
self.assertEqual(set(shared), set(sc.new_values))
np.testing.assert_equal(shared["a"], [2])
np.testing.assert_equal(shared["e"], [0, 2])
np.testing.assert_equal(shared["f o"], [0, 1])
np.testing.assert_equal(shared["o"], [2])
def test_split_column_counts(self):
sc = SplitColumnCounts(self.data, self.data.domain.metas[0], ",")
shared = sc(self.data)
self.assertEqual(set(sc.new_values), {"a", "bbb", "d"})
self.assertEqual(set(shared), set(sc.new_values))
np.testing.assert_equal(shared["a"], [3, 0, 0])
np.testing.assert_equal(shared["bbb"], [1, 0, 2])
np.testing.assert_equal(shared["d"], [1, 0, 1])
def test_no_known_values(self):
sc = SplitColumnOneHot(self.data, self.data.domain.metas[0], ",")
data = Table.from_numpy(
self.data.domain, np.zeros((3, 1)), None,
np.array([["x"] * 2] * 3))
shared = sc(data)
for attr in ("a", "bbb", "d"):
self.assertEqual(shared[attr].size, 0)
oh = OneHotStrings(sc, attr)
np.testing.assert_equal(oh(data), [0, 0, 0])
class TestStringEncoding(TestComputation):
def test_one_hot_strings(self):
attr = self.data.domain.metas[0]
sc = SplitColumnOneHot(self.data, attr, ",")
oh = OneHotStrings(sc, "a")
np.testing.assert_equal(oh(self.data), [1, 0, 0])
oh = OneHotStrings(sc, "bbb")
np.testing.assert_equal(oh(self.data), [1, 0, 1])
data = Table.from_numpy(
Domain([], None, [attr]),
np.zeros((5, 0)), None,
np.array(["bbb,x,y", "", "bbb", "bbb,a", "foo"])[:, None])
np.testing.assert_equal(oh(data), [1, 0, 1, 1, 0])
def test_count_strings(self):
attr = self.data.domain.metas[0]
sc = SplitColumnCounts(self.data, attr, ",")
oh = CountStrings(sc, "a")
np.testing.assert_equal(oh(self.data), [3, 0, 0])
oh = CountStrings(sc, "bbb")
np.testing.assert_equal(oh(self.data), [1, 0, 2])
oh = CountStrings(sc, "d")
np.testing.assert_equal(oh(self.data), [1, 0, 1])
class TestDiscreteEncoding(TestComputation):
def test_one_hot_discrete(self):
attr = self.data.domain.attributes[0]
oh = DiscreteEncoding(attr, " ", True, "a")
np.testing.assert_equal(oh(self.data), [0, 1, np.nan])
oh = DiscreteEncoding(attr, " ", True, "d")
np.testing.assert_equal(oh(self.data), [1, 1, np.nan])
data = Table.from_numpy(
Domain([attr], None),
np.array([1, 0, 1, 0, np.nan])[:, None])
oh = DiscreteEncoding(attr, " ", True, "a")
np.testing.assert_equal(oh(data), [0, 1, 0, 1, np.nan])
oh = DiscreteEncoding(attr, " ", True, "d")
np.testing.assert_equal(oh(data), [1, 1, 1, 1, np.nan])
def test_discrete_counts(self):
attr = self.data.domain.attributes[0]
oh = DiscreteEncoding(attr, " ", False, "a")
np.testing.assert_equal(oh(self.data), [0, 1, np.nan])
oh = DiscreteEncoding(attr, " ", False, "bb")
np.testing.assert_equal(oh(self.data), [1, 3, np.nan])
with self.data.unlocked():
self.data.X[2, 0] = 0
np.testing.assert_equal(oh(self.data), [1, 3, 3])
def test_discrete_metas(self):
attr = DiscreteVariable("x", values=("a c d", "bb d"))
domain = Domain([], None, [attr])
data = Table.from_numpy(domain, np.zeros((3, 0)), None,
np.array([1, 0, np.nan])[:, None])
oh = DiscreteEncoding(attr, " ", True, "a")
np.testing.assert_equal(oh(data), [0, 1, np.nan])
class TestOWSplit(WidgetTest):
def setUp(self):
self.widget = self.create_widget(OWSplit)
test_path = os.path.dirname(os.path.abspath(__file__))
self.data = Table.from_file(os.path.join(test_path, "orange-in-education.tab"))
self._create_simple_corpus()
def _set_attr(self, attr, widget=None):
if widget is None:
widget = self.widget
attr_combo = widget.controls.attribute
idx = attr_combo.model().indexOf(attr)
attr_combo.setCurrentIndex(idx)
attr_combo.activated.emit(idx)
def _create_simple_corpus(self) -> None:
"""
Create a simple dataset with 4 documents.
"""
metas = np.array(
[
["foo,"],
["bar,baz , bar, bar"],
["foo,bar, foo"],
[""],
]
)
text_var = StringVariable("foo")
domain = Domain([], metas=[text_var])
self.small_table = Table.from_numpy(
domain,
X=np.empty((len(metas), 0)),
metas=metas,
)
def test_data(self):
"""Basic functionality"""
self.send_signal(self.widget.Inputs.data, self.data)
self._set_attr(self.data.domain.attributes[1])
output = self.get_output(self.widget.Outputs.data)
self.assertEqual(len(output.domain.attributes),
len(self.data.domain.attributes) + 3)
self.assertTrue("in-class, in hands-on workshops" in output.domain
and "in-class, in lectures" in output.domain and
"outside the classroom" in output.domain)
np.testing.assert_array_equal(output[:10, "in-class, in hands-on "
"workshops"],
np.array([0, 0, 1, 0, 1, 1, 0, 1, 0, 0]
).reshape(-1, 1))
np.testing.assert_array_equal(output[:10, "in-class, in lectures"],
np.array([0, 1, 0, 0, 1, 0, 1, 1, 1, 0]
).reshape(-1, 1))
np.testing.assert_array_equal(output[:10, "outside the classroom"],
np.array([1, 0, 1, 1, 1, 0, 0, 1, 1, 1]
).reshape(-1, 1))
def test_empty_data(self):
"""Do not crash on empty data"""
self.send_signal(self.widget.Inputs.data, None)
def test_discrete(self):
"""No crash on data attributes of different types"""
self.send_signal(self.widget.Inputs.data, self.data)
self.assertEqual(self.widget.attribute, self.data.domain.metas[1])
self._set_attr(self.data.domain.attributes[1])
self.assertEqual(self.widget.attribute, self.data.domain.attributes[1])
def test_numeric_only(self):
"""Error raised when only numeric variables given"""
housing = Table.from_file("housing")
self.send_signal(self.widget.Inputs.data, housing)
self.assertTrue(self.widget.Warning.no_disc.is_shown())
def test_split_nonexisting(self):
"""Test splitting when delimiter doesn't exist"""
self.widget.delimiter = "|"
self.send_signal(self.widget.Inputs.data, self.data)
new_cols = set(self.data.get_column("Country"))
self.assertFalse(any(self.widget.delimiter in v for v in new_cols))
self.assertEqual(len(self.get_output(
self.widget.Outputs.data).domain.attributes),
len(self.data.domain.attributes) + len(new_cols))
def test_output_string(self):
"Test outputs; at the same time, test for duplicate variables"
self.widget.delimiter = ","
self.send_signal(self.widget.Inputs.data, self.small_table)
out = self.get_output(self.widget.Outputs.data)
self.assertEqual([attr.name for attr in out.domain.attributes],
["bar", "baz", "foo (1)"])
np.testing.assert_equal(out.X,
[[0, 0, 1],
[1, 1, 0],
[1, 0, 1],
[0, 0, 0]])
def test_output_discrete(self):
w = self.widget
w.delimiter = " "
w.output_type = w.Categorical
attr = DiscreteVariable(
"x",
values=("bar foo bar bar foo foo foo", "bar baz", "crux crux"))
data = Table.from_numpy(
Domain([attr], None),
np.array([1, 1, 0, 1, 2, np.nan])[:, None], None)
counts = np.array([[1, 1, 0, 0],
[1, 1, 0, 0],
[3, 0, 0, 4],
[1, 1, 0, 0],
[0, 0, 2, 0],
[np.nan, np.nan, np.nan, np.nan]])
exp_hot = np.hstack((data.X, np.vstack((counts[:-1] > 0, [[np.nan] * 4]))))
self.send_signal(w.Inputs.data, data)
out = self.get_output(w.Outputs.data)
self.assertEqual([attr.name for attr in out.domain.attributes],
["x", "bar", "baz", "crux", "foo"])
for attr in out.domain.attributes[1:]:
self.assertTrue(attr.is_discrete)
self.assertEqual(attr.values, ("No", "Yes"))
np.testing.assert_equal(out.X, exp_hot)
w.controls.output_type.buttons[w.Numerical].click()
out = self.get_output(w.Outputs.data)
self.assertEqual([attr.name for attr in out.domain.attributes],
["x", "bar", "baz", "crux", "foo"])
for attr in out.domain.attributes[1:]:
self.assertTrue(attr.is_continuous)
np.testing.assert_equal(out.X, exp_hot)
w.controls.output_type.buttons[w.Counts].click()
out = self.get_output(w.Outputs.data)
self.assertEqual([attr.name for attr in out.domain.attributes],
["x", "bar", "baz", "crux", "foo"])
for attr in out.domain.attributes[1:]:
self.assertTrue(attr.is_continuous)
np.testing.assert_equal(
out.X,
np.hstack((data.X, np.vstack((counts[:-1], [[np.nan] * 4])))))
def test_output_types_string(self):
w = self.widget
w.delimiter = ","
w.output_type = w.Categorical
self.send_signal(w.Inputs.data, self.small_table)
counts = np.array([[0, 0, 1], [3, 1, 0], [1, 0, 2], [0, 0, 0]])
out = self.get_output(w.Outputs.data)
self.assertEqual([attr.name for attr in out.domain.attributes],
["bar", "baz", "foo (1)"])
for attr in out.domain.attributes:
self.assertTrue(attr.is_discrete)
self.assertEqual(attr.values, ("No", "Yes"))
np.testing.assert_equal(out.X, counts > 0)
w.controls.output_type.buttons[w.Numerical].click()
out = self.get_output(w.Outputs.data)
self.assertEqual([attr.name for attr in out.domain.attributes],
["bar", "baz", "foo (1)"])
for attr in out.domain.attributes:
self.assertTrue(attr.is_continuous)
np.testing.assert_equal(out.X, counts > 0)
w.controls.output_type.buttons[w.Counts].click()
out = self.get_output(w.Outputs.data)
self.assertEqual([attr.name for attr in out.domain.attributes],
["bar", "baz", "foo (1)"])
for attr in out.domain.attributes:
self.assertTrue(attr.is_continuous)
np.testing.assert_equal(out.X, counts)
if __name__ == "__main__":
unittest.main()
|
