How to use the persim.PersImage function in persim

def test_kernel_mean(self):
        pim = PersImage()
        kf = pim.kernel(2)

        data = np.array([[0, 0]])
        assert kf(np.array([[0, 0]]), [0, 0]) >= kf(
            np.array([[1, 1]]), [0, 0]
        ), "decreasing away"
        assert kf(np.array([[0, 0]]), [1, 1]) == kf(
            np.array([[1, 1]]), [0, 0]
        ), "symmetric"

def test_zero_on_xaxis(self):
        pim = PersImage()

        wf = pim.weighting()

        assert wf([1, 0]) == 0
        assert wf([100, 0]) == 0
        assert wf([99, 1.4]) == 1.4

def test_lists_of_lists(self):
        pim = PersImage(pixels=(3, 3))
        diagram = [[0, 1], [1, 1], [3, 5]]
        img = pim.transform(diagram)

        assert img.shape == (3, 3)

def test_empty_diagram(self):
        dgm = np.zeros((0, 2))
        pim = PersImage(pixels = (10, 10))
        res = pim.transform(dgm)
        assert np.all(res == np.zeros((10, 10)))

def test_scales(self):
        pim = PersImage()

        wf = pim.weighting(np.array([[0, 1], [1, 2], [3, 4]]))

        assert wf([1, 0]) == 0
        assert wf([1, 4]) == 1
        assert wf([1, 2]) == .5

def test_n_pixels(self):
        pim = PersImage(pixels=(3, 3))
        diagram = np.array([[0, 1], [1, 1], [3, 5]])
        img = pim.transform(diagram)

        assert img.shape == (3, 3)

def test_empyt_diagram_list(self):
        dgm1 = [np.array([[2, 3]]), 
                np.zeros((0, 2))]
        pim1 = PersImage(pixels = (10, 10))
        res1 = pim1.transform(dgm1)
        assert np.all(res1[1] == np.zeros((10, 10)))

        dgm2 = [np.zeros((0, 2)), 
                np.array([[2, 3]])]
        pim2 = PersImage(pixels = (10, 10))
        res2 = pim2.transform(dgm2)
        assert np.all(res2[0] == np.zeros((10, 10)))

        dgm3 = [np.zeros((0, 2)), 
                np.zeros((0, 2))]
        pim3 = PersImage(pixels = (10, 10))
        res3 = pim3.transform(dgm3)
        assert np.all(res3[0] == np.zeros((10, 10)))
        assert np.all(res3[1] == np.zeros((10, 10)))

def test_empyt_diagram_list(self):
        dgm1 = [np.array([[2, 3]]), 
                np.zeros((0, 2))]
        pim1 = PersImage(pixels = (10, 10))
        res1 = pim1.transform(dgm1)
        assert np.all(res1[1] == np.zeros((10, 10)))

        dgm2 = [np.zeros((0, 2)), 
                np.array([[2, 3]])]
        pim2 = PersImage(pixels = (10, 10))
        res2 = pim2.transform(dgm2)
        assert np.all(res2[0] == np.zeros((10, 10)))

        dgm3 = [np.zeros((0, 2)), 
                np.zeros((0, 2))]
        pim3 = PersImage(pixels = (10, 10))
        res3 = pim3.transform(dgm3)
        assert np.all(res3[0] == np.zeros((10, 10)))
        assert np.all(res3[1] == np.zeros((10, 10)))

def test_empyt_diagram_list(self):
        dgm1 = [np.array([[2, 3]]), 
                np.zeros((0, 2))]
        pim1 = PersImage(pixels = (10, 10))
        res1 = pim1.transform(dgm1)
        assert np.all(res1[1] == np.zeros((10, 10)))

        dgm2 = [np.zeros((0, 2)), 
                np.array([[2, 3]])]
        pim2 = PersImage(pixels = (10, 10))
        res2 = pim2.transform(dgm2)
        assert np.all(res2[0] == np.zeros((10, 10)))

        dgm3 = [np.zeros((0, 2)), 
                np.zeros((0, 2))]
        pim3 = PersImage(pixels = (10, 10))
        res3 = pim3.transform(dgm3)
        assert np.all(res3[0] == np.zeros((10, 10)))
        assert np.all(res3[1] == np.zeros((10, 10)))

def test_integer_diagrams():
    """ This test is inspired by gh issue #3 by gh user muszyna25.

    Integer diagrams return nan values.

    This does not work: dgm = [[0, 2], [0, 6], [0, 8]];

    This one works fine: dgm = [[0.0, 2.0], [0.0, 6.0], [0.0, 8.0]];

    """

    dgm = [[0, 2], [0, 6], [0, 8]]
    dgm2 = [[0.0, 2.0], [0.0, 6.0], [0.0, 8.0]]
    pim = PersImage()
    res = pim.transform(dgm2)
    res2 = pim.transform(dgm)
    np.testing.assert_array_equal(res, res2)