6a98e99911631e73fec45e504dc0d9295fada53e,scipy/sparse/linalg/tests/test_expm_multiply.py,TestExpmActionSimple,test_sparse_expm_multiply,#TestExpmActionSimple#,106

Before Change

        n = 40
        k = 3
        nsamples = 10
        for i in range(nsamples):
            A = scipy.sparse.rand(n, n, density=0.05)
            B = np.random.randn(n, k)
            observed = expm_multiply(A, B)
            expected = scipy.linalg.expm(A).dot(B)
            assert_allclose(observed, expected)

    def test_complex(self):
        A = np.array([
            [1j, 1j],
            [0, 1j]], dtype=complex)

After Change

        assert_allclose(observed, expected)

    def test_sparse_expm_multiply(self):
        with warnings.catch_warnings():
            warnings.simplefilter("ignore", category=SparseEfficiencyWarning)
            np.random.seed(1234)
            n = 40
            k = 3
            nsamples = 10
            for i in range(nsamples):
                A = scipy.sparse.rand(n, n, density=0.05)
                B = np.random.randn(n, k)
                observed = expm_multiply(A, B)
                expected = scipy.linalg.expm(A).dot(B)
                assert_allclose(observed, expected)

    def test_complex(self):
        A = np.array([
            [1j, 1j],
            [0, 1j]], dtype=complex)

Instances