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30748f863f
* Avoid heap allocation for function calls with a small number of arguments
We don't have access to llvm::SmallVector or similar, but given the
limited subset of the `std::vector` API that
`function_call::args{,_convert}` need and the "reserve-then-fill"
usage pattern, it is relatively straightforward to implement custom
containers that get the job done.
Seems to improves time to call the collatz function in
pybind/pybind11_benchmark significantly; numbers are a little noisy
but there's a clear improvement from "about 60 ns per call" to "about
45 ns per call" on my machine (M4 Max Mac), as measured with
`timeit.repeat('collatz(4)', 'from pybind11_benchmark import
collatz')`.
* clang-tidy
* more clang-tidy
* clang-tidy NOLINTBEGIN/END instead of NOLINTNEXTLINE
* forgot to increase inline size after removing std::variant
* constexpr arg_vector_small_size, use move instead of swap to hopefully clarify second_pass_convert
* rename test_embed to test_low_level
* rename test_low_level to test_with_catch
* Be careful to NOINLINE slow paths
* rename array/vector members to iarray/hvector. Move comment per request. Add static_asserts for our untagged union implementation per request.
* drop is_standard_layout assertions; see https://github.com/pybind/pybind11/pull/5824#issuecomment-3308616072
25 lines
666 B
C++
25 lines
666 B
C++
#include <pybind11/pybind11.h>
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namespace py = pybind11;
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/* Simple test module/test class to check that the referenced internals data of external pybind11
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* modules aren't preserved over a finalize/initialize.
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*/
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PYBIND11_MODULE(external_module,
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m,
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py::mod_gil_not_used(),
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py::multiple_interpreters::per_interpreter_gil()) {
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class A {
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public:
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explicit A(int value) : v{value} {};
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int v;
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};
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py::class_<A>(m, "A").def(py::init<int>()).def_readwrite("value", &A::v);
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m.def("internals_at",
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[]() { return reinterpret_cast<uintptr_t>(&py::detail::get_internals()); });
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}
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