Example #1
0
def test_overload_resolution(msg):
    from pybind11_tests.array import overloaded, overloaded2, overloaded3, overloaded4, overloaded5

    # Exact overload matches:
    assert overloaded(np.array([1], dtype='float64')) == 'double'
    assert overloaded(np.array([1], dtype='float32')) == 'float'
    assert overloaded(np.array([1], dtype='ushort')) == 'unsigned short'
    assert overloaded(np.array([1], dtype='intc')) == 'int'
    assert overloaded(np.array([1], dtype='longlong')) == 'long long'
    assert overloaded(np.array([1], dtype='complex')) == 'double complex'
    assert overloaded(np.array([1], dtype='csingle')) == 'float complex'

    # No exact match, should call first convertible version:
    assert overloaded(np.array([1], dtype='uint8')) == 'double'

    assert overloaded2(np.array([1], dtype='float64')) == 'double'
    assert overloaded2(np.array([1], dtype='float32')) == 'float'
    assert overloaded2(np.array([1], dtype='complex64')) == 'float complex'
    assert overloaded2(np.array([1], dtype='complex128')) == 'double complex'
    assert overloaded2(np.array([1], dtype='float32')) == 'float'

    assert overloaded3(np.array([1], dtype='float64')) == 'double'
    assert overloaded3(np.array([1], dtype='intc')) == 'int'
    expected_exc = """
        overloaded3(): incompatible function arguments. The following argument types are supported:
            1. (arg0: numpy.ndarray[int]) -> str
            2. (arg0: numpy.ndarray[float]) -> str

        Invoked with:"""

    with pytest.raises(TypeError) as excinfo:
        overloaded3(np.array([1], dtype='uintc'))
    assert msg(excinfo.value) == expected_exc + " array([1], dtype=uint32)"
    with pytest.raises(TypeError) as excinfo:
        overloaded3(np.array([1], dtype='float32'))
    assert msg(excinfo.value) == expected_exc + " array([ 1.], dtype=float32)"
    with pytest.raises(TypeError) as excinfo:
        overloaded3(np.array([1], dtype='complex'))
    assert msg(excinfo.value) == expected_exc + " array([ 1.+0.j])"

    # Exact matches:
    assert overloaded4(np.array([1], dtype='double')) == 'double'
    assert overloaded4(np.array([1], dtype='longlong')) == 'long long'
    # Non-exact matches requiring conversion.  Since float to integer isn't a
    # save conversion, it should go to the double overload, but short can go to
    # either (and so should end up on the first-registered, the long long).
    assert overloaded4(np.array([1], dtype='float32')) == 'double'
    assert overloaded4(np.array([1], dtype='short')) == 'long long'

    assert overloaded5(np.array([1], dtype='double')) == 'double'
    assert overloaded5(np.array([1], dtype='uintc')) == 'unsigned int'
    assert overloaded5(np.array([1], dtype='float32')) == 'unsigned int'
Example #2
0
def test_overload_resolution(msg):
    from pybind11_tests.array import overloaded, overloaded2, overloaded3, overloaded4, overloaded5

    # Exact overload matches:
    assert overloaded(np.array([1], dtype='float64')) == 'double'
    assert overloaded(np.array([1], dtype='float32')) == 'float'
    assert overloaded(np.array([1], dtype='ushort')) == 'unsigned short'
    assert overloaded(np.array([1], dtype='intc')) == 'int'
    assert overloaded(np.array([1], dtype='longlong')) == 'long long'
    assert overloaded(np.array([1], dtype='complex')) == 'double complex'
    assert overloaded(np.array([1], dtype='csingle')) == 'float complex'

    # No exact match, should call first convertible version:
    assert overloaded(np.array([1], dtype='uint8')) == 'double'

    with pytest.raises(TypeError) as excinfo:
        overloaded("not an array")
    assert msg(excinfo.value) == """
        overloaded(): incompatible function arguments. The following argument types are supported:
            1. (arg0: numpy.ndarray[float64]) -> str
            2. (arg0: numpy.ndarray[float32]) -> str
            3. (arg0: numpy.ndarray[int32]) -> str
            4. (arg0: numpy.ndarray[uint16]) -> str
            5. (arg0: numpy.ndarray[int64]) -> str
            6. (arg0: numpy.ndarray[complex128]) -> str
            7. (arg0: numpy.ndarray[complex64]) -> str

        Invoked with: 'not an array'
    """

    assert overloaded2(np.array([1], dtype='float64')) == 'double'
    assert overloaded2(np.array([1], dtype='float32')) == 'float'
    assert overloaded2(np.array([1], dtype='complex64')) == 'float complex'
    assert overloaded2(np.array([1], dtype='complex128')) == 'double complex'
    assert overloaded2(np.array([1], dtype='float32')) == 'float'

    assert overloaded3(np.array([1], dtype='float64')) == 'double'
    assert overloaded3(np.array([1], dtype='intc')) == 'int'
    expected_exc = """
        overloaded3(): incompatible function arguments. The following argument types are supported:
            1. (arg0: numpy.ndarray[int32]) -> str
            2. (arg0: numpy.ndarray[float64]) -> str

        Invoked with:"""

    with pytest.raises(TypeError) as excinfo:
        overloaded3(np.array([1], dtype='uintc'))
    assert msg(excinfo.value) == expected_exc + " array([1], dtype=uint32)"
    with pytest.raises(TypeError) as excinfo:
        overloaded3(np.array([1], dtype='float32'))
    assert msg(excinfo.value) == expected_exc + " array([ 1.], dtype=float32)"
    with pytest.raises(TypeError) as excinfo:
        overloaded3(np.array([1], dtype='complex'))
    assert msg(excinfo.value) == expected_exc + " array([ 1.+0.j])"

    # Exact matches:
    assert overloaded4(np.array([1], dtype='double')) == 'double'
    assert overloaded4(np.array([1], dtype='longlong')) == 'long long'
    # Non-exact matches requiring conversion.  Since float to integer isn't a
    # save conversion, it should go to the double overload, but short can go to
    # either (and so should end up on the first-registered, the long long).
    assert overloaded4(np.array([1], dtype='float32')) == 'double'
    assert overloaded4(np.array([1], dtype='short')) == 'long long'

    assert overloaded5(np.array([1], dtype='double')) == 'double'
    assert overloaded5(np.array([1], dtype='uintc')) == 'unsigned int'
    assert overloaded5(np.array([1], dtype='float32')) == 'unsigned int'