pybind11/tests/test_numpy_vectorize.py

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import pytest
with pytest.suppress(ImportError):
import numpy as np
@pytest.requires_numpy
def test_vectorize(capture):
from pybind11_tests import vectorized_func, vectorized_func2, vectorized_func3
assert np.isclose(vectorized_func3(np.array(3 + 7j)), [6 + 14j])
for f in [vectorized_func, 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, 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)
"""
@pytest.requires_numpy
def test_type_selection(capture):
from pybind11_tests import selective_func
with capture:
selective_func(np.array([1], dtype=np.int32))
selective_func(np.array([1.0], dtype=np.float32))
selective_func(np.array([1.0j], dtype=np.complex64))
assert capture == """
Int branch taken.
Float branch taken.
Complex float branch taken.
"""
@pytest.requires_numpy
def test_docs(doc):
from pybind11_tests import vectorized_func
assert doc(vectorized_func) == "vectorized_func(arg0: numpy.ndarray[int], arg1: numpy.ndarray[float], arg2: numpy.ndarray[float]) -> object"