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

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import unittest

import numpy as np
from py4j.java_gateway import JVMView
from systemds.context import SystemDSContext
from systemds.utils.converters import matrix_block_to_numpy, numpy_to_matrix_block


class Test_MatrixBlockConverter(unittest.TestCase):
    """Test class for testing behavior of the fundamental DMLScript class"""

    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_unrelated_java_code(self):
        # https://www.py4j.org/getting_started.html
        java_list = self.sds.java_gateway.jvm.java.util.ArrayList()
        java_list.append(10)
        java_list.append(131)
        java_list.append(31)
        self.sds.java_gateway.jvm.java.util.Collections.sort(java_list)
        self.assertListEqual([10, 31, 131], eval(java_list.toString()))

    def test_simple_1x1(self):
        self.convert_back_and_forth(array=np.array([1]))

    def test_simple_1x1_redundant_dimension(self):
        self.convert_back_and_forth(np.array([[1]]))

    def test_random_nxn(self):
        n = 10
        rng = np.random.default_rng(seed=7)
        array = rng.standard_normal(n)
        array = array * np.array([array]).T
        self.convert_back_and_forth(array)

    def test_random_nxk(self):
        n = 10
        k = 3
        rng = np.random.default_rng(seed=7)
        array = np.array([rng.standard_normal(n) for x in range(k)])
        self.convert_back_and_forth(array)

    def convert_back_and_forth(self, array):
        matrix_block = numpy_to_matrix_block(self.sds, array)
        # use the ability to call functions on matrix_block.
        returned = matrix_block_to_numpy(self.sds, matrix_block)
        self.assertTrue(np.allclose(array, returned))


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