`np.recarray` is not properly converted

**Affects:** PythonCall

**Describe the bug**
It seems that `pyconvert(Any, ::)` incorrectly assumes that a `recarray` can be wrapped as a `PyArray`.

```
julia> np = pyimport("numpy");

julia> arr = np.recarray((2,2), dtype = @py([("A", "O"), ("B", "O")]))
Python:
rec.array([[(None, None), (None, None)],
[(None, None), (None, None)]],
dtype=[('A', 'O'), ('B', 'O')])

julia> pyconvert(Any, arr)
2×2 PyArray{NamedTuple{(:A, :B), Tuple{PythonCall.Wrap.UnsafePyObject, PythonCall.Wrap.UnsafePyObject}}, 2}:
(A = UnsafePyObject(Ptr{PyObject} @0x00007ffc75ba4830), B = UnsafePyObject(Ptr{PyObject} @0x00007ffc75ba4830)) (A = UnsafePyObject(Ptr{PyObject} @0x00007ffc75ba4830), B = UnsafePyObject(Ptr{PyObject} @0x00007ffc75ba4830))
(A = UnsafePyObject(Ptr{PyObject} @0x00007ffc75ba4830), B = UnsafePyObject(Ptr{PyObject} @0x00007ffc75ba4830)) (A = UnsafePyObject(Ptr{PyObject} @0x00007ffc75ba4830), B = UnsafePyObject(Ptr{PyObject} @0x00007ffc75ba4830))
```

A field name can not be accessed after conversion.
```
julia> arr.A
Python:
array([[None, None],
[None, None]], dtype=object)

julia> pyconvert(Any, arr).A
ERROR: type PyArray has no field A
Stacktrace:
[1] getproperty(x::PyArray{NamedTuple{(:A, :B), Tuple{PythonCall.Wrap.UnsafePyObject, PythonCall.Wrap.UnsafePyObject}}, 2, true, false, NamedTuple{(:A, :B), Tuple{PythonCall.Wrap.UnsafePyObject, PythonCall.Wrap.UnsafePyObject}}}, f::Symbol)
@ Base .\Base.jl:37
[2] top-level scope
@ REPL[11]:1

```

If indexing before field access, it works, but it does not return a usable wrapper.
```
julia> pyconvert(Any, arr)[1]
(A = PythonCall.Wrap.UnsafePyObject(Ptr{PythonCall.C.PyObject} @0x00007ffc75ba4830), B = PythonCall.Wrap.UnsafePyObject(Ptr{PythonCall.C.PyObject} @0x00007ffc75ba4830))

julia> pyconvert(Any, arr)[1].A
PythonCall.Wrap.UnsafePyObject(Ptr{PythonCall.C.PyObject} @0x00007ffc75ba4830)
```

I think the expected behavior should be `pyconvert(Any, ::)` returning something equivalent to a [`StructArray`](https://github.com/JuliaArrays/StructArrays.jl), i.e. `foo[1].A` and `foo.A[1]` are equivalent.

**Environment:**
Julia v1.9.3
PythonCall v0.9.23