1 from __future__
import annotations
5 from pybind11_tests
import numpy_vectorize
as m
7 np = pytest.importorskip(
"numpy")
11 assert np.isclose(m.vectorized_func3(np.array(3 + 7j)), [6 + 14j])
13 for f
in [m.vectorized_func, m.vectorized_func2]:
15 assert np.isclose(
f(1, 2, 3), 6)
16 assert capture ==
"my_func(x:int=1, y:float=2, z:float=3)"
18 assert np.isclose(
f(np.array(1), np.array(2), 3), 6)
19 assert capture ==
"my_func(x:int=1, y:float=2, z:float=3)"
21 assert np.allclose(
f(np.array([1, 3]), np.array([2, 4]), 3), [6, 36])
25 my_func(x:int=1, y:float=2, z:float=3)
26 my_func(x:int=3, y:float=4, z:float=3)
30 a = np.array([[1, 2], [3, 4]], order=
"F")
31 b = np.array([[10, 20], [30, 40]], order=
"F")
34 assert np.allclose(result, a * b * c)
35 assert result.flags.f_contiguous
40 my_func(x:int=1, y:float=10, z:float=3)
41 my_func(x:int=3, y:float=30, z:float=3)
42 my_func(x:int=2, y:float=20, z:float=3)
43 my_func(x:int=4, y:float=40, z:float=3)
48 np.array([[1, 3, 5], [7, 9, 11]]),
49 np.array([[2, 4, 6], [8, 10, 12]]),
52 assert np.allclose(
f(a, b, c), a * b * c)
56 my_func(x:int=1, y:float=2, z:float=3)
57 my_func(x:int=3, y:float=4, z:float=3)
58 my_func(x:int=5, y:float=6, z:float=3)
59 my_func(x:int=7, y:float=8, z:float=3)
60 my_func(x:int=9, y:float=10, z:float=3)
61 my_func(x:int=11, y:float=12, z:float=3)
65 a, b, c = np.array([[1, 2, 3], [4, 5, 6]]), np.array([2, 3, 4]), 2
66 assert np.allclose(
f(a, b, c), a * b * c)
70 my_func(x:int=1, y:float=2, z:float=2)
71 my_func(x:int=2, y:float=3, z:float=2)
72 my_func(x:int=3, y:float=4, z:float=2)
73 my_func(x:int=4, y:float=2, z:float=2)
74 my_func(x:int=5, y:float=3, z:float=2)
75 my_func(x:int=6, y:float=4, z:float=2)
79 a, b, c = np.array([[1, 2, 3], [4, 5, 6]]), np.array([[2], [3]]), 2
80 assert np.allclose(
f(a, b, c), a * b * c)
84 my_func(x:int=1, y:float=2, z:float=2)
85 my_func(x:int=2, y:float=2, z:float=2)
86 my_func(x:int=3, y:float=2, z:float=2)
87 my_func(x:int=4, y:float=3, z:float=2)
88 my_func(x:int=5, y:float=3, z:float=2)
89 my_func(x:int=6, y:float=3, z:float=2)
94 np.array([[1, 2, 3], [4, 5, 6]], order=
"F"),
98 assert np.allclose(
f(a, b, c), a * b * c)
102 my_func(x:int=1, y:float=2, z:float=2)
103 my_func(x:int=2, y:float=2, z:float=2)
104 my_func(x:int=3, y:float=2, z:float=2)
105 my_func(x:int=4, y:float=3, z:float=2)
106 my_func(x:int=5, y:float=3, z:float=2)
107 my_func(x:int=6, y:float=3, z:float=2)
111 a, b, c = np.array([[1, 2, 3], [4, 5, 6]])[::, ::2], np.array([[2], [3]]), 2
112 assert np.allclose(
f(a, b, c), a * b * c)
116 my_func(x:int=1, y:float=2, z:float=2)
117 my_func(x:int=3, y:float=2, z:float=2)
118 my_func(x:int=4, y:float=3, z:float=2)
119 my_func(x:int=6, y:float=3, z:float=2)
124 np.array([[1, 2, 3], [4, 5, 6]], order=
"F")[::, ::2],
125 np.array([[2], [3]]),
128 assert np.allclose(
f(a, b, c), a * b * c)
132 my_func(x:int=1, y:float=2, z:float=2)
133 my_func(x:int=3, y:float=2, z:float=2)
134 my_func(x:int=4, y:float=3, z:float=2)
135 my_func(x:int=6, y:float=3, z:float=2)
141 assert m.selective_func(np.array([1], dtype=np.int32)) ==
"Int branch taken."
142 assert m.selective_func(np.array([1.0], dtype=np.float32)) ==
"Float branch taken."
144 m.selective_func(np.array([1.0j], dtype=np.complex64))
145 ==
"Complex float branch taken."
151 doc(m.vectorized_func)
153 vectorized_func(arg0: numpy.ndarray[numpy.int32], arg1: numpy.ndarray[numpy.float32], arg2: numpy.ndarray[numpy.float64]) -> object
159 trivial, vectorized_is_trivial = m.trivial, m.vectorized_is_trivial
161 assert vectorized_is_trivial(1, 2, 3) == trivial.c_trivial
162 assert vectorized_is_trivial(np.array(1), np.array(2), 3) == trivial.c_trivial
164 vectorized_is_trivial(np.array([1, 3]), np.array([2, 4]), 3)
167 assert trivial.c_trivial == vectorized_is_trivial(
168 np.array([[1, 3, 5], [7, 9, 11]]), np.array([[2, 4, 6], [8, 10, 12]]), 3
171 vectorized_is_trivial(np.array([[1, 2, 3], [4, 5, 6]]), np.array([2, 3, 4]), 2)
172 == trivial.non_trivial
175 vectorized_is_trivial(np.array([[1, 2, 3], [4, 5, 6]]), np.array([[2], [3]]), 2)
176 == trivial.non_trivial
178 z1 = np.array([[1, 2, 3, 4], [5, 6, 7, 8]], dtype=
"int32")
179 z2 = np.array(z1, dtype=
"float32")
180 z3 = np.array(z1, dtype=
"float64")
181 assert vectorized_is_trivial(z1, z2, z3) == trivial.c_trivial
182 assert vectorized_is_trivial(1, z2, z3) == trivial.c_trivial
183 assert vectorized_is_trivial(z1, 1, z3) == trivial.c_trivial
184 assert vectorized_is_trivial(z1, z2, 1) == trivial.c_trivial
185 assert vectorized_is_trivial(z1[::2, ::2], 1, 1) == trivial.non_trivial
186 assert vectorized_is_trivial(1, 1, z1[::2, ::2]) == trivial.c_trivial
187 assert vectorized_is_trivial(1, 1, z3[::2, ::2]) == trivial.non_trivial
188 assert vectorized_is_trivial(z1, 1, z3[1::4, 1::4]) == trivial.c_trivial
190 y1 = np.array(z1, order=
"F")
193 assert vectorized_is_trivial(y1, y2, y3) == trivial.f_trivial
194 assert vectorized_is_trivial(y1, 1, 1) == trivial.f_trivial
195 assert vectorized_is_trivial(1, y2, 1) == trivial.f_trivial
196 assert vectorized_is_trivial(1, 1, y3) == trivial.f_trivial
197 assert vectorized_is_trivial(y1, z2, 1) == trivial.non_trivial
198 assert vectorized_is_trivial(z1[1::4, 1::4], y2, 1) == trivial.f_trivial
199 assert vectorized_is_trivial(y1[1::4, 1::4], z2, 1) == trivial.c_trivial
201 assert m.vectorized_func(z1, z2, z3).flags.c_contiguous
202 assert m.vectorized_func(y1, y2, y3).flags.f_contiguous
203 assert m.vectorized_func(z1, 1, 1).flags.c_contiguous
204 assert m.vectorized_func(1, y2, 1).flags.f_contiguous
205 assert m.vectorized_func(z1[1::4, 1::4], y2, 1).flags.f_contiguous
206 assert m.vectorized_func(y1[1::4, 1::4], z2, 1).flags.c_contiguous
210 assert doc(m.vec_passthrough) == (
215 "arg1: numpy.ndarray[numpy.float64]",
216 "arg2: numpy.ndarray[numpy.float64]",
217 "arg3: numpy.ndarray[numpy.int32]",
219 "arg5: m.numpy_vectorize.NonPODClass",
220 "arg6: numpy.ndarray[numpy.float64]",
226 b = np.array([[10, 20, 30]], dtype=
"float64")
227 c = np.array([100, 200])
228 d = np.array([[1000], [2000], [3000]], dtype=
"int")
229 g = np.array([[1000000, 2000000, 3000000]], dtype=
"int")
231 m.vec_passthrough(1, b, c, d, 10000, m.NonPODClass(100000), g)
234 [1111111, 2111121, 3111131],
235 [1112111, 2112121, 3112131],
236 [1113111, 2113121, 3113131],
243 o = m.VectorizeTestClass(3)
244 x = np.array([1, 2], dtype=
"int")
245 y = np.array([[10], [20]], dtype=
"float32")
246 assert np.all(o.method(x, y) == [[14, 15], [24, 25]])
250 assert not isinstance(m.vectorized_func(1, 2, 3), np.ndarray)
251 assert not isinstance(m.vectorized_func(np.array(1), 2, 3), np.ndarray)
252 z = m.vectorized_func([1], 2, 3)
254 assert z.shape == (1,)
255 z = m.vectorized_func(1, [[[2]]], 3)
257 assert z.shape == (1, 1, 1)
263 m.add_to(x, [1, 2, 3, 4])
267 m.add_to(x, [[1, 1], [2, 3]])