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fix(clang-tidy): performance fixes applied in tests and CI (#3051)

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* Initial fixes

* Whoops

* Finish clang-tidy manual fixes

* Add two missing fixes

* Revert

* Update clang-tidy

* Try to fix unreachable code error

* Move nolint comment

* Apply missing fix

* Don't override clang-tidy config

* Does this fix clang-tidy?

* Make all clang-tidy errors visible

* Add comments about NOLINTs and remove a few

* Fix typo
This commit is contained in:
Aaron Gokaslan
2021-06-22 12:11:54 -04:00
committed by GitHub
parent 3b30b0a51e
commit dac74ebdf5
36 changed files with 664 additions and 431 deletions
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54
tests/test_numpy_vectorize.cpp
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@@ -11,6 +11,8 @@
#include "pybind11_tests.h"
#include <pybind11/numpy.h>
#include <utility>
double my_func(int x, float y, double z) {
py::print("my_func(x:int={}, y:float={:.0f}, z:float={:.0f})"_s.format(x, y, z));
return (float) x*y*z;
@@ -25,11 +27,10 @@ TEST_SUBMODULE(numpy_vectorize, m) {
m.def("vectorized_func", py::vectorize(my_func));
// Vectorize a lambda function with a capture object (e.g. to exclude some arguments from the vectorization)
m.def("vectorized_func2",
[](py::array_t<int> x, py::array_t<float> y, float z) {
return py::vectorize([z](int x, float y) { return my_func(x, y, z); })(x, y);
}
);
m.def("vectorized_func2", [](py::array_t<int> x, py::array_t<float> y, float z) {
return py::vectorize([z](int x, float y) { return my_func(x, y, z); })(std::move(x),
std::move(y));
});
// Vectorize a complex-valued function
m.def("vectorized_func3", py::vectorize(
@@ -38,8 +39,12 @@ TEST_SUBMODULE(numpy_vectorize, m) {
// test_type_selection
// NumPy function which only accepts specific data types
// Alot of these no lints could be replaced with const refs, and probably should at some point.
// NOLINTNEXTLINE(performance-unnecessary-value-param)
m.def("selective_func", [](py::array_t<int, py::array::c_style>) { return "Int branch taken."; });
// NOLINTNEXTLINE(performance-unnecessary-value-param)
m.def("selective_func", [](py::array_t<float, py::array::c_style>) { return "Float branch taken."; });
// NOLINTNEXTLINE(performance-unnecessary-value-param)
m.def("selective_func", [](py::array_t<std::complex<float>, py::array::c_style>) { return "Complex float branch taken."; });
@@ -53,11 +58,16 @@ TEST_SUBMODULE(numpy_vectorize, m) {
py::class_<NonPODClass>(m, "NonPODClass")
.def(py::init<int>())
.def_readwrite("value", &NonPODClass::value);
m.def("vec_passthrough", py::vectorize(
[](double *a, double b, py::array_t<double> c, const int &d, int &e, NonPODClass f, const double g) {
return *a + b + c.at(0) + d + e + f.value + g;
}
));
m.def("vec_passthrough",
py::vectorize([](double *a,
double b,
// Changing this broke things
// NOLINTNEXTLINE(performance-unnecessary-value-param)
py::array_t<double> c,
const int &d,
int &e,
NonPODClass f,
const double g) { return *a + b + c.at(0) + d + e + f.value + g; }));
// test_method_vectorization
struct VectorizeTestClass {
@@ -78,16 +88,20 @@ TEST_SUBMODULE(numpy_vectorize, m) {
.value("f_trivial", py::detail::broadcast_trivial::f_trivial)
.value("c_trivial", py::detail::broadcast_trivial::c_trivial)
.value("non_trivial", py::detail::broadcast_trivial::non_trivial);
m.def("vectorized_is_trivial", [](
py::array_t<int, py::array::forcecast> arg1,
py::array_t<float, py::array::forcecast> arg2,
py::array_t<double, py::array::forcecast> arg3
) {
py::ssize_t ndim;
std::vector<py::ssize_t> shape;
std::array<py::buffer_info, 3> buffers {{ arg1.request(), arg2.request(), arg3.request() }};
return py::detail::broadcast(buffers, ndim, shape);
});
m.def("vectorized_is_trivial",
[](
// NOLINTNEXTLINE(performance-unnecessary-value-param)
py::array_t<int, py::array::forcecast> arg1,
// NOLINTNEXTLINE(performance-unnecessary-value-param)
py::array_t<float, py::array::forcecast> arg2,
// NOLINTNEXTLINE(performance-unnecessary-value-param)
py::array_t<double, py::array::forcecast> arg3) {
py::ssize_t ndim;
std::vector<py::ssize_t> shape;
std::array<py::buffer_info, 3> buffers{
{arg1.request(), arg2.request(), arg3.request()}};
return py::detail::broadcast(buffers, ndim, shape);
});
m.def("add_to", py::vectorize([](NonPODClass& x, int a) { x.value += a; }));
}