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

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import unittest
import numpy as np
import random
from scipy import sparse
from systemds.context import SystemDSContext

np.random.seed(7)
random.seed(7)
shape = (random.randrange(1, 25), random.randrange(1, 25))

m = np.random.rand(shape[0], shape[1])
my = np.random.rand(shape[0], 1)
m_empty = np.asarray([[]])
m_sparse = sparse.random(
    shape[0], shape[1], density=0.1, format="csr", random_state=5
).toarray()
m_sparse = np.around(m_sparse, decimals=22)


class TestRoll(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_empty(self):
        r = self.sds.from_numpy(np.asarray(m_empty)).roll(1).compute()
        self.assertTrue(np.allclose(r, m_empty))

    def test_col_vec(self):
        r = self.sds.from_numpy(my).roll(1).compute()
        self.assertTrue(np.allclose(r, np.roll(my, axis=None, shift=1)))

    def test_basic(self):
        r = self.sds.from_numpy(m).roll(1).compute()
        self.assertTrue(np.allclose(r, np.roll(m, axis=0, shift=1)))

    def test_sparse_matrix(self):
        r = self.sds.from_numpy(m_sparse).roll(1).compute()
        self.assertTrue(np.allclose(r, np.roll(m_sparse, axis=0, shift=1)))


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