blob: e660905d0d8f86dc6e5e2e516eea508c0c8d584b [file] [log] [blame]
# -------------------------------------------------------------
#
# Licensed to the Apache Software Foundation (ASF) under one
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# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
#
# -------------------------------------------------------------
import unittest
import numpy as np
from systemds.context import SystemDSContext
from systemds.matrix import Matrix
class TestMatrixOneHot(unittest.TestCase):
sds: SystemDSContext = None
@classmethod
def setUpClass(cls):
cls.sds = SystemDSContext()
@classmethod
def tearDownClass(cls):
cls.sds.close()
def test_one_hot_1(self):
m1 = np.array([1])
res = Matrix(self.sds, m1).to_one_hot(3).compute()
self.assertTrue((res == [[1, 0, 0]]).all())
def test_one_hot_2(self):
m1 = np.array([2])
res = Matrix(self.sds, m1).to_one_hot(3).compute()
self.assertTrue((res == [[0, 1, 0]]).all())
def test_one_hot_3(self):
m1 = np.array([2])
res = Matrix(self.sds, m1).to_one_hot(2).compute()
self.assertTrue((res == [[0, 1]]).all())
def test_one_hot_2_2(self):
m1 = np.array([2, 2])
res = Matrix(self.sds, m1).to_one_hot(2).compute()
self.assertTrue((res == [[0, 1], [0, 1]]).all())
def test_one_hot_1_2(self):
m1 = np.array([1, 2])
res = Matrix(self.sds, m1).to_one_hot(2).compute()
self.assertTrue((res == [[1, 0], [0, 1]]).all())
def test_one_hot_1_2(self):
m1 = np.array([1, 2, 2])
res = Matrix(self.sds, m1).to_one_hot(2).compute()
self.assertTrue((res == [[1, 0], [0, 1], [0, 1]]).all())
# TODO make tests for runtime errors, like this one
# def test_neg_one_hot_toHighValue(self):
# m1 = np.array([3])
# with self.assertRaises(ValueError) as context:
# res = Matrix(self.sds, m1).to_one_hot(2).compute()
def test_neg_one_hot_numClasses(self):
m1 = np.array([1])
with self.assertRaises(ValueError) as context:
res = Matrix(self.sds, m1).to_one_hot(1).compute()
def test_neg_one_hot_inputShape(self):
m1 = np.array([[1]])
with self.assertRaises(ValueError) as context:
res = Matrix(self.sds, m1).to_one_hot(1).compute()
if __name__ == "__main__":
unittest.main(exit=False)