mirror of
https://github.com/pybind/pybind11.git
synced 2024-11-30 00:47:12 +00:00
665e8804f3
The C++ part of the test code is modified to achieve this. As a result,
this kind of test:
```python
with capture:
kw_func1(5, y=10)
assert capture == "kw_func(x=5, y=10)"
```
can be replaced with a simple:
`assert kw_func1(5, y=10) == "x=5, y=10"`
75 lines
2.9 KiB
Python
75 lines
2.9 KiB
Python
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():
|
|
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."
|
|
|
|
|
|
@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"
|