diff options
Diffstat (limited to 'ext/pybind11/tests/test_numpy_vectorize.py')
| -rw-r--r-- | ext/pybind11/tests/test_numpy_vectorize.py | 73 |
1 files changed, 54 insertions, 19 deletions
diff --git a/ext/pybind11/tests/test_numpy_vectorize.py b/ext/pybind11/tests/test_numpy_vectorize.py index 7ae777227..0e9c88397 100644 --- a/ext/pybind11/tests/test_numpy_vectorize.py +++ b/ext/pybind11/tests/test_numpy_vectorize.py @@ -1,4 +1,5 @@ import pytest +from pybind11_tests import numpy_vectorize as m pytestmark = pytest.requires_numpy @@ -7,11 +8,9 @@ with pytest.suppress(ImportError): def test_vectorize(capture): - from pybind11_tests import vectorized_func, vectorized_func2, vectorized_func3 + assert np.isclose(m.vectorized_func3(np.array(3 + 7j)), [6 + 14j]) - assert np.isclose(vectorized_func3(np.array(3 + 7j)), [6 + 14j]) - - for f in [vectorized_func, vectorized_func2]: + for f in [m.vectorized_func, m.vectorized_func2]: with capture: assert np.isclose(f(1, 2, 3), 6) assert capture == "my_func(x:int=1, y:float=2, z:float=3)" @@ -103,23 +102,19 @@ def test_vectorize(capture): def test_type_selection(): - from pybind11_tests import selective_func - - assert selective_func(np.array([1], dtype=np.int32)) == "Int branch taken." - assert selective_func(np.array([1.0], dtype=np.float32)) == "Float branch taken." - assert selective_func(np.array([1.0j], dtype=np.complex64)) == "Complex float branch taken." + assert m.selective_func(np.array([1], dtype=np.int32)) == "Int branch taken." + assert m.selective_func(np.array([1.0], dtype=np.float32)) == "Float branch taken." + assert m.selective_func(np.array([1.0j], dtype=np.complex64)) == "Complex float branch taken." def test_docs(doc): - from pybind11_tests import vectorized_func - - assert doc(vectorized_func) == """ + assert doc(m.vectorized_func) == """ vectorized_func(arg0: numpy.ndarray[int32], arg1: numpy.ndarray[float32], arg2: numpy.ndarray[float64]) -> object """ # noqa: E501 line too long def test_trivial_broadcasting(): - from pybind11_tests import vectorized_is_trivial, trivial, vectorized_func + trivial, vectorized_is_trivial = m.trivial, m.vectorized_is_trivial assert vectorized_is_trivial(1, 2, 3) == trivial.c_trivial assert vectorized_is_trivial(np.array(1), np.array(2), 3) == trivial.c_trivial @@ -153,9 +148,49 @@ def test_trivial_broadcasting(): assert vectorized_is_trivial(z1[1::4, 1::4], y2, 1) == trivial.f_trivial assert vectorized_is_trivial(y1[1::4, 1::4], z2, 1) == trivial.c_trivial - assert vectorized_func(z1, z2, z3).flags.c_contiguous - assert vectorized_func(y1, y2, y3).flags.f_contiguous - assert vectorized_func(z1, 1, 1).flags.c_contiguous - assert vectorized_func(1, y2, 1).flags.f_contiguous - assert vectorized_func(z1[1::4, 1::4], y2, 1).flags.f_contiguous - assert vectorized_func(y1[1::4, 1::4], z2, 1).flags.c_contiguous + assert m.vectorized_func(z1, z2, z3).flags.c_contiguous + assert m.vectorized_func(y1, y2, y3).flags.f_contiguous + assert m.vectorized_func(z1, 1, 1).flags.c_contiguous + assert m.vectorized_func(1, y2, 1).flags.f_contiguous + assert m.vectorized_func(z1[1::4, 1::4], y2, 1).flags.f_contiguous + assert m.vectorized_func(y1[1::4, 1::4], z2, 1).flags.c_contiguous + + +def test_passthrough_arguments(doc): + assert doc(m.vec_passthrough) == ( + "vec_passthrough(" + ", ".join([ + "arg0: float", + "arg1: numpy.ndarray[float64]", + "arg2: numpy.ndarray[float64]", + "arg3: numpy.ndarray[int32]", + "arg4: int", + "arg5: m.numpy_vectorize.NonPODClass", + "arg6: numpy.ndarray[float64]"]) + ") -> object") + + b = np.array([[10, 20, 30]], dtype='float64') + c = np.array([100, 200]) # NOT a vectorized argument + d = np.array([[1000], [2000], [3000]], dtype='int') + g = np.array([[1000000, 2000000, 3000000]], dtype='int') # requires casting + assert np.all( + m.vec_passthrough(1, b, c, d, 10000, m.NonPODClass(100000), g) == + np.array([[1111111, 2111121, 3111131], + [1112111, 2112121, 3112131], + [1113111, 2113121, 3113131]])) + + +def test_method_vectorization(): + o = m.VectorizeTestClass(3) + x = np.array([1, 2], dtype='int') + y = np.array([[10], [20]], dtype='float32') + assert np.all(o.method(x, y) == [[14, 15], [24, 25]]) + + +def test_array_collapse(): + assert not isinstance(m.vectorized_func(1, 2, 3), np.ndarray) + assert not isinstance(m.vectorized_func(np.array(1), 2, 3), np.ndarray) + z = m.vectorized_func([1], 2, 3) + assert isinstance(z, np.ndarray) + assert z.shape == (1, ) + z = m.vectorized_func(1, [[[2]]], 3) + assert isinstance(z, np.ndarray) + assert z.shape == (1, 1, 1) |