1c880c79459a63c8e36f48966142aea56626818e,scipy/sparse/linalg/tests/test_matfuncs.py,TestExpM,test_padecases_dtype_sparse_float,#TestExpM#,130

Before Change

    def test_padecases_dtype_sparse_float(self):
        // float32 and complex64 lead to errors in spsolve/UMFpack
        dtype = np.float64
        with warnings.catch_warnings():
            warnings.simplefilter("ignore", category=SparseEfficiencyWarning)
            for scale in [1e-2, 1e-1, 5e-1, 1, 10]:
                a = scale * speye(3, 3, dtype=dtype, format="csc")
                e = exp(scale) * eye(3, dtype=dtype)
                exact_onenorm = _expm(a, use_exact_onenorm=True).toarray()
                inexact_onenorm = _expm(a, use_exact_onenorm=False).toarray()
                assert_array_almost_equal_nulp(exact_onenorm, e, nulp=100)
                assert_array_almost_equal_nulp(inexact_onenorm, e, nulp=100)

    def test_padecases_dtype_sparse_complex(self):
        // float32 and complex64 lead to errors in spsolve/UMFpack
        dtype = np.complex128
        with warnings.catch_warnings():

After Change

    def test_padecases_dtype_sparse_float(self):
        // float32 and complex64 lead to errors in spsolve/UMFpack
        dtype = np.float64
        for scale in [1e-2, 1e-1, 5e-1, 1, 10]:
            a = scale * speye(3, 3, dtype=dtype, format="csc")
            e = exp(scale) * eye(3, dtype=dtype)
            with suppress_warnings() as sup:
                sup.filter(SparseEfficiencyWarning,
                           "Changing the sparsity structure of a csc_matrix is expensive.")
                exact_onenorm = _expm(a, use_exact_onenorm=True).toarray()
                inexact_onenorm = _expm(a, use_exact_onenorm=False).toarray()
            assert_array_almost_equal_nulp(exact_onenorm, e, nulp=100)
            assert_array_almost_equal_nulp(inexact_onenorm, e, nulp=100)

    def test_padecases_dtype_sparse_complex(self):
        // float32 and complex64 lead to errors in spsolve/UMFpack
        dtype = np.complex128
        for scale in [1e-2, 1e-1, 5e-1, 1, 10]:

Instances