Error accessing attribute of Python object from Julia.

**Affects:** PythonCall

**Describe the bug**
Im trying to use [qiskit_aer](https://qiskit.github.io/qiskit-aer/index.html), which is a python package, from Julia.
First I add the dependencies, which results in my CondaPkg.toml to look like this:
```
[deps]
qiskit-aer = "0.16.1.*"
qiskit = "1.4.2.*"
```
Then I load it:
```julia
const qiskit_aer = PythonCall.pynew()
PythonCall.pycopy!(qiskit_aer, PythonCall.pyimport("qiskit_aer"))
```
Now I can create an simulator object:
```julia
test = qiskit_aer.AerSimulator(
method="statevector",
device="CPU",
enable_truncation=false,
target=[0]
)
```
And I can see all its attributes when pressing tab for auto compleation:
```julia
julia> test.
_AVAILABLE_DEVICES _AVAILABLE_METHODS _BASIS_GATES _CUSTOM_INSTR _DEFAULT_CONFIGURATION _SIMULATION_DEVICES _SIMULATION_METHODS
__abstractmethods__ __class__ __delattr__ __dict__ __dir__ __doc__ __eq__
__format__ __ge__ __getattribute__ __getstate__ __gt__ __hash__ __init__
__init_subclass__ __le__ __lt__ __module__ __ne__ __new__ __reduce__
__reduce_ex__ __repr__ __setattr__ __sizeof__ __slots__ __str__ __subclasshook__
__weakref__ _abc_impl _assemble_noise_model _basis_gates _cached_basis_gates _check_basis_gates _compile
_configuration _controller _convert_binds _convert_circuit_binds _coupling_map _default_options _execute_circuits
_execute_circuits_job _format_results _from_backend _get_executor _instruction_schedule_map _mapping _options
_options_configuration _options_properties _properties _provider _run_circuits _set_configuration_option _set_method_config
_set_properties_option _target acquire_channel available_devices available_methods backend_version clear_options
configuration control_channel coupling_map description drive_channel dt dtm
from_backend instruction_durations instruction_schedule_map instructions max_circuits meas_map measure_channel
name num_qubits online_date operation_names operations options properties
provider qubit_properties run set_max_qubits set_option set_options status
target
```
So far it works great. Now the bug occurs when I actually want to get one of these attributes:
```julia
julia> test.num_qubits
ERROR: Python: AttributeError: Julia: type Array has no field num_qubits
Python stacktrace:
[1] __getattr__
@ ~/.julia/packages/PythonCall/WMWY0/src/JlWrap/any.jl:249
[2] num_qubits
@ qiskit.providers.backend /files/home/part8/user/Bookworm/Documents/project/.CondaPkg/env/lib/python3.11/site-packages/qiskit/providers/backend.py:406
Stacktrace:
[1] pythrow()
@ PythonCall.Core ~/.julia/packages/PythonCall/WMWY0/src/Core/err.jl:92
[2] errcheck
@ ~/.julia/packages/PythonCall/WMWY0/src/Core/err.jl:10 [inlined]
[3] pygetattr(x::Py, k::String)
@ PythonCall.Core ~/.julia/packages/PythonCall/WMWY0/src/Core/builtins.jl:62
[4] getproperty(x::Py, k::Symbol)
@ PythonCall.Core ~/.julia/packages/PythonCall/WMWY0/src/Core/Py.jl:273
[5] top-level scope
@ REPL[19]:1
```
I would expect this to just return a number. The attribute existes, see [docs](https://qiskit.github.io/qiskit-aer/stubs/qiskit_aer.AerSimulator.html#qiskit_aer.AerSimulator.num_qubits).

**Your system**
```julia
julia> versioninfo()
Julia Version 1.11.4
Commit 8561cc3d68d (2025-03-10 11:36 UTC)
Build Info:
Official https://julialang.org/ release
Platform Info:
OS: Linux (x86_64-linux-gnu)
CPU: 24 × 13th Gen Intel(R) Core(TM) i7-13700
WORD_SIZE: 64
LLVM: libLLVM-16.0.6 (ORCJIT, alderlake)
Threads: 1 default, 0 interactive, 1 GC (on 24 virtual cores)
Environment:
JULIA_EDITOR = code
```
```julia
julia> CondaPkg.status()
CondaPkg Status /files/home/part8/user/Bookworm/Documents/project/CondaPkg.toml
Environment
/files/home/part8/user/Bookworm/Documents/project/.CondaPkg/env
Packages
qiskit v1.4.2 (1.4.2.*)
qiskit-aer v0.16.1 (0.16.1.*)
```

Reproduce the qiskit_aer.AerSimulator attribute access with the provided Julia and CondaPkg versions. Start at src/JlWrap/any.jl:249 and the PythonCall attribute lookup shown in the traceback, then compare access to num_qubits with the tab-completion path. Done means test.num_qubits returns the Python attribute's numeric value without the Array field error.

Escrito por el modelo de indexación a partir del texto del issue.