| import pytest |
| from pybind11_tests import numpy_vectorize as m |
| |
| pytestmark = pytest.requires_numpy |
| |
| with pytest.suppress(ImportError): |
| import numpy as np |
| |
| |
| def test_vectorize(capture): |
| assert np.isclose(m.vectorized_func3(np.array(3 + 7j)), [6 + 14j]) |
| |
| 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)" |
| with capture: |
| assert np.isclose(f(np.array(1), np.array(2), 3), 6) |
| assert capture == "my_func(x:int=1, y:float=2, z:float=3)" |
| with capture: |
| assert np.allclose(f(np.array([1, 3]), np.array([2, 4]), 3), [6, 36]) |
| assert capture == """ |
| my_func(x:int=1, y:float=2, z:float=3) |
| my_func(x:int=3, y:float=4, z:float=3) |
| """ |
| with capture: |
| a = np.array([[1, 2], [3, 4]], order='F') |
| b = np.array([[10, 20], [30, 40]], order='F') |
| c = 3 |
| result = f(a, b, c) |
| assert np.allclose(result, a * b * c) |
| assert result.flags.f_contiguous |
| # All inputs are F order and full or singletons, so we the result is in col-major order: |
| assert capture == """ |
| my_func(x:int=1, y:float=10, z:float=3) |
| my_func(x:int=3, y:float=30, z:float=3) |
| my_func(x:int=2, y:float=20, z:float=3) |
| my_func(x:int=4, y:float=40, z:float=3) |
| """ |
| with capture: |
| a, b, c = np.array([[1, 3, 5], [7, 9, 11]]), np.array([[2, 4, 6], [8, 10, 12]]), 3 |
| assert np.allclose(f(a, b, c), a * b * c) |
| assert capture == """ |
| my_func(x:int=1, y:float=2, z:float=3) |
| my_func(x:int=3, y:float=4, z:float=3) |
| my_func(x:int=5, y:float=6, z:float=3) |
| my_func(x:int=7, y:float=8, z:float=3) |
| my_func(x:int=9, y:float=10, z:float=3) |
| my_func(x:int=11, y:float=12, z:float=3) |
| """ |
| with capture: |
| a, b, c = np.array([[1, 2, 3], [4, 5, 6]]), np.array([2, 3, 4]), 2 |
| assert np.allclose(f(a, b, c), a * b * c) |
| assert capture == """ |
| my_func(x:int=1, y:float=2, z:float=2) |
| my_func(x:int=2, y:float=3, z:float=2) |
| my_func(x:int=3, y:float=4, z:float=2) |
| my_func(x:int=4, y:float=2, z:float=2) |
| my_func(x:int=5, y:float=3, z:float=2) |
| my_func(x:int=6, y:float=4, z:float=2) |
| """ |
| with capture: |
| a, b, c = np.array([[1, 2, 3], [4, 5, 6]]), np.array([[2], [3]]), 2 |
| assert np.allclose(f(a, b, c), a * b * c) |
| assert capture == """ |
| my_func(x:int=1, y:float=2, z:float=2) |
| my_func(x:int=2, y:float=2, z:float=2) |
| my_func(x:int=3, y:float=2, z:float=2) |
| my_func(x:int=4, y:float=3, z:float=2) |
| my_func(x:int=5, y:float=3, z:float=2) |
| my_func(x:int=6, y:float=3, z:float=2) |
| """ |
| with capture: |
| a, b, c = np.array([[1, 2, 3], [4, 5, 6]], order='F'), np.array([[2], [3]]), 2 |
| assert np.allclose(f(a, b, c), a * b * c) |
| assert capture == """ |
| my_func(x:int=1, y:float=2, z:float=2) |
| my_func(x:int=2, y:float=2, z:float=2) |
| my_func(x:int=3, y:float=2, z:float=2) |
| my_func(x:int=4, y:float=3, z:float=2) |
| my_func(x:int=5, y:float=3, z:float=2) |
| my_func(x:int=6, y:float=3, z:float=2) |
| """ |
| with capture: |
| a, b, c = np.array([[1, 2, 3], [4, 5, 6]])[::, ::2], np.array([[2], [3]]), 2 |
| assert np.allclose(f(a, b, c), a * b * c) |
| assert capture == """ |
| my_func(x:int=1, y:float=2, z:float=2) |
| my_func(x:int=3, y:float=2, z:float=2) |
| my_func(x:int=4, y:float=3, z:float=2) |
| my_func(x:int=6, y:float=3, z:float=2) |
| """ |
| with capture: |
| a, b, c = np.array([[1, 2, 3], [4, 5, 6]], order='F')[::, ::2], np.array([[2], [3]]), 2 |
| assert np.allclose(f(a, b, c), a * b * c) |
| assert capture == """ |
| my_func(x:int=1, y:float=2, z:float=2) |
| my_func(x:int=3, y:float=2, z:float=2) |
| my_func(x:int=4, y:float=3, z:float=2) |
| my_func(x:int=6, y:float=3, z:float=2) |
| """ |
| |
| |
| def test_type_selection(): |
| 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): |
| 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(): |
| 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 |
| assert vectorized_is_trivial(np.array([1, 3]), np.array([2, 4]), 3) == trivial.c_trivial |
| assert trivial.c_trivial == vectorized_is_trivial( |
| np.array([[1, 3, 5], [7, 9, 11]]), np.array([[2, 4, 6], [8, 10, 12]]), 3) |
| assert vectorized_is_trivial( |
| np.array([[1, 2, 3], [4, 5, 6]]), np.array([2, 3, 4]), 2) == trivial.non_trivial |
| assert vectorized_is_trivial( |
| np.array([[1, 2, 3], [4, 5, 6]]), np.array([[2], [3]]), 2) == trivial.non_trivial |
| z1 = np.array([[1, 2, 3, 4], [5, 6, 7, 8]], dtype='int32') |
| z2 = np.array(z1, dtype='float32') |
| z3 = np.array(z1, dtype='float64') |
| assert vectorized_is_trivial(z1, z2, z3) == trivial.c_trivial |
| assert vectorized_is_trivial(1, z2, z3) == trivial.c_trivial |
| assert vectorized_is_trivial(z1, 1, z3) == trivial.c_trivial |
| assert vectorized_is_trivial(z1, z2, 1) == trivial.c_trivial |
| assert vectorized_is_trivial(z1[::2, ::2], 1, 1) == trivial.non_trivial |
| assert vectorized_is_trivial(1, 1, z1[::2, ::2]) == trivial.c_trivial |
| assert vectorized_is_trivial(1, 1, z3[::2, ::2]) == trivial.non_trivial |
| assert vectorized_is_trivial(z1, 1, z3[1::4, 1::4]) == trivial.c_trivial |
| |
| y1 = np.array(z1, order='F') |
| y2 = np.array(y1) |
| y3 = np.array(y1) |
| assert vectorized_is_trivial(y1, y2, y3) == trivial.f_trivial |
| assert vectorized_is_trivial(y1, 1, 1) == trivial.f_trivial |
| assert vectorized_is_trivial(1, y2, 1) == trivial.f_trivial |
| assert vectorized_is_trivial(1, 1, y3) == trivial.f_trivial |
| assert vectorized_is_trivial(y1, z2, 1) == trivial.non_trivial |
| 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 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) |
