[BUG]: pybind11 return numpy array by copy instead of reference.

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What version (or hash if on master) of pybind11 are you using?

2.11

Problem description

py::array_t<float> return_from_cpp()
{
    float* data = new float[5];
    printf("data ptr: %ld", data);
    return py::array_t<float>({1, 5}, data);
}

I want to return an existing data in c++ to python, so I try build a py::array_t<float> object by pointer.
But python receive a copy array.
So what should I do?

Reproducible example code

c++
py::array_t<float> return_from_cpp()
{
    float* data = new float[5];
    printf("data ptr: %ld", data);
    return py::array_t<float>({1, 5}, data);
}

from package import return_from_cpp
data = return_from_cpp()
print(data.ctypes.data)

### Is this a regression? Put the last known working version here if it is.

Not a regression

Reproduce the reported C++ return_from_cpp example and compare the pointer printed in C++ with Python's data.ctypes.data. Investigate py::array_t construction from an existing pointer and establish the expected reference or ownership behavior; no project files or tests are named in the issue.