Exemple #1
0
def test_binary_function(backend, mode, func, u_d, v_d, u_domain, v_domain):
    if u_domain is None:
        u_arr = generate_test_data()
    else:
        u_arr = generate_test_data(a=u_domain[0], b=u_domain[1])
    if v_domain is None:
        v_arr = generate_test_data()
    else:
        v_arr = generate_test_data(a=v_domain[0], b=v_domain[1])

    expect_u_diff = [u_d(ua, va) for ua, va in zip(u_arr, v_arr)]
    expect_v_diff = [v_d(ua, va) for ua, va in zip(u_arr, v_arr)]
    try:
        with ua.set_backend(udiff.DiffArrayBackend(backend, mode=mode),
                            coerce=True):
            u = np.asarray(u_arr)
            v = np.asarray(v_arr)
            y = func(u, v)
            u_diff = y.to(u)
            v_diff = y.to(v)
    except ua.BackendNotImplementedError:
        if backend in FULLY_TESTED_BACKENDS:
            raise
        pytest.xfail(
            reason="The backend has no implementation for this ufunc.")
    except NotImplementedError:
        pytest.xfail(reason="The func has no implementation in the {} mode.".
                     format(mode))

    if isinstance(y, da.Array):
        y.compute()

    assert_allclose(u_diff.value, expect_u_diff)
    assert_allclose(v_diff.value, expect_v_diff)
Exemple #2
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def test_jacobian(backend, mode, x, func, expect_jacobian):
    try:
        with ua.set_backend(udiff.DiffArrayBackend(backend, mode=mode),
                            coerce=True):
            x = np.asarray(x)
            y = func(x)
            x_jacobian = y.to(x, jacobian=True)
    except ua.BackendNotImplementedError:
        if backend in FULLY_TESTED_BACKENDS:
            raise
        pytest.xfail(
            reason="The backend has no implementation for this ufunc.")

    if isinstance(y, da.Array):
        y.compute()

    assert_allclose(x_jacobian.value, expect_jacobian)
Exemple #3
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def test_separation_binary(backend, mode, u, v, func, expect_u_jacobian,
                           expect_v_jacobian):
    try:
        with ua.set_backend(udiff.DiffArrayBackend(backend, mode=mode),
                            coerce=True):
            u = np.asarray(u)
            v = np.asarray(v)

            y = func(u, v)
            u_jacobian = y.to(u, jacobian=True)
            v_jacobian = y.to(v, jacobian=True)
    except ua.BackendNotImplementedError:
        if backend in FULLY_TESTED_BACKENDS:
            raise
        pytest.xfail(
            reason="The backend has no implementation for this ufunc.")

    if isinstance(y, da.Array):
        y.compute()

    assert_allclose(u_jacobian.value, expect_u_jacobian)
    assert_allclose(v_jacobian.value, expect_v_jacobian)
Exemple #4
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def test_high_order_diff(backend, mode, func, y_d, domain):
    if domain is None:
        x_arr = generate_test_data()
    else:
        x_arr = generate_test_data(a=domain[0], b=domain[1])
    expect_diff = [y_d(xa) for xa in x_arr]
    try:
        with ua.set_backend(udiff.DiffArrayBackend(backend, mode=mode),
                            coerce=True):
            x = np.asarray(x_arr)
            y = func(x)
            x_diff = y.to(x).to(x)
    except ua.BackendNotImplementedError:
        if backend in FULLY_TESTED_BACKENDS:
            raise
        pytest.xfail(
            reason="The backend has no implementation for this ufunc.")

    if isinstance(y, da.Array):
        y.compute()

    assert_allclose(x_diff.value, expect_diff)