Field.append() with np.array view does not hold data

Before submitting the issue

[X] I have checked for Compatibility issues
[X] I have searched among the existing issues
[X] I am using a Python virtual environment

Description of the bug

Appending data to a Field using an array slice does not hold onto the data for GrpcCLayer and InProcess. This results in the Field reporting unassigned values. Using sliced_data.copy() does not solve the issue despite it reporting sliced_data.flags["OWNDATA"]==True and sliced_data.base!=None. Basically the field does not hold the data when added this way. The question is whether there is something we can actually do about it, as it seems there is no way to know where the data comes from.

Steps To Reproduce

result_field = dpf.field.Field(location=dpf.locations.elemental_nodal, nature=dpf.natures.scalar)
assert result_field.component_count == 1

input_data = np.array([[1,2],[3,4]])
sliced_data = input_data[:,0]

result_field.append(sliced_data, 1)
assert result_field.elementary_data_count == 2
print(result_field)
assert np.allclose(result_field.get_entity_data_by_id(1), sliced_data)

prints:

Location: ElementalNodal
  Unit: 
  1 entities 
  Data: 1 components and 2 elementary data

  IDs                   data
  ------------          ----------
  1                     4.243992e-314  
                        8.487983e-314

Which Operating System causes the issue?

Windows

Which DPF/Ansys version are you using?

DPF Server 2024.2.pre0

Which Python version causes the issue?

3.11

ansys / pydpf-core