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_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 == """