src/main/python/tests/matrix/test_rIndexing.py

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import unittest

import numpy as np
from systemds.context import SystemDSContext


class Test_rIndexing(unittest.TestCase):

    sds: SystemDSContext = None

    @classmethod
    def setUpClass(cls):
        cls.sds = SystemDSContext(capture_stdout=True, logging_level=50)

    @classmethod
    def tearDownClass(cls):
        cls.sds.close()

    def test_1(self):
        npA = np.arange(0, 100).reshape(10, 10)
        m1 = self.sds.from_numpy(npA)
        npres = npA[4]
        res = m1[4].compute()
        self.assertTrue(np.allclose(res, npres))

    def test_2(self):
        npA = np.arange(0, 100).reshape(10, 10)
        m1 = self.sds.from_numpy(npA)
        npres = npA[4:5]
        res = m1[4:5].compute()
        self.assertTrue(np.allclose(res, npres))

    def test_3(self):
        npA = np.arange(0, 100).reshape(10, 10)
        m1 = self.sds.from_numpy(npA)
        # Invalid to slice with a step
        with self.assertRaises(ValueError) as context:
            res = m1[4:7:2].compute()

    def test_4(self):
        npA = np.arange(0, 100).reshape(10, 10)
        m1 = self.sds.from_numpy(npA)
        npres = npA[:, 4]
        res = m1[:, 4].compute().flatten()
        self.assertTrue(np.allclose(res, npres))

    def test_5(self):
        npA = np.arange(0, 100).reshape(10, 10)
        m1 = self.sds.from_numpy(npA)
        npres = npA[:, 4:6]
        res = m1[:, 4:6].compute()
        self.assertTrue(np.allclose(res, npres))

    def test_6(self):
        npA = np.arange(0, 100).reshape(10, 10)
        m1 = self.sds.from_numpy(npA)
        npres = npA[1:2, 4:6]
        res = m1[1:2, 4:6].compute()
        self.assertTrue(np.allclose(res, npres))

    def test_7(self):
        npA = np.arange(0, 100).reshape(10, 10)
        m1 = self.sds.from_numpy(npA)
        npres = npA[1, 4:6]
        res = m1[1, 4:6].compute()
        self.assertTrue(np.allclose(res, npres))

    def test_8(self):
        npA = np.arange(0, 100).reshape(10, 10)
        m1 = self.sds.from_numpy(npA)
        with self.assertRaises(NotImplementedError) as context:
            res = m1[1:, 4:6].compute()

    def test_9(self):
        npA = np.arange(0, 100).reshape(10, 10)
        m1 = self.sds.from_numpy(npA)
        with self.assertRaises(NotImplementedError) as context:
            res = m1[:3, 4:6].compute()


if __name__ == "__main__":
    unittest.main(exit=False)