Not clear how to expose existing C++ vector as numpy array

This is a question of documentation rather than an issue. I can't find any example of the following very common scenario:

std::vector<int> some_func();
...
// We want to expose returned std::vector as a numpy array without copying
m.def("some_func", []() -> py::array {
   auto data = some_func();
   // What to do with data?? Map it with Eigen (then return what?), wrap somehow with py::buffer (how?)
})

I don't know the answer. It would be very nice to have this explained in docs since this scenario if rather common.

Start with the issue's std::vector some_func example and review the existing py::array, Eigen, and py::buffer documentation or entry points. Document the supported approach for exposing the returned vector, including the ownership and lifetime constraints, and show a complete example that makes the zero-copy behavior clear.