Return Python array API compatible device objects from inspection namespace

[antonwolfy]

The array API inspection namespace (__array_namespace_info__()) returned raw dpctl.SyclDevice objects from devices() and default_device(), while an array's .device attribute is a dpnp.tensor.Device wrapper.

Because Device.__eq__ does not consider a bare SyclDevice equal, the objects returned by the inspection API did not compare equal to x.device, which the Python array API standard requires:

import dpnp as np

devices = np.__array_namespace_info__().devices()
devices
# Out:
# (<dpctl.SyclDevice [backend_type.level_zero, device_type.gpu,  Intel(R) Graphics [0x7d41]] at 0x74bb28198030>,
#  <dpctl.SyclDevice [backend_type.opencl, device_type.cpu,  Intel(R) Core(TM) Ultra 7 265U] at 0x74bb28198d30>,
#  <dpctl.SyclDevice [backend_type.opencl, device_type.gpu,  Intel(R) Graphics [0x7d41]] at 0x74bb2a117870>)

x = np.ones(10)
y = np.from_dlpack(x, device=devices[1])
y.device == devices[1]
# Out: False

y.device.sycl_device == devices[1]
# Out: True

Changes

This PR updates Info.devices() to return a tuple of dpnp.tensor.Device wrappers (built via Device.create_device), instead of a list of raw dpctl.SyclDevice objects. The wrappers carry the default cached queues for each root device, which is sufficient for the common cases.

Additionally Info.default_device() likewise now returns a Device wrapper for consistency, so x.device, default_device(), and the elements of devices() all compare equal for the default device.

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[github-actions]

View rendered docs @ https://intelpython.github.io/dpnp/pull/2979/index.html

[github-actions]

Array API standard conformance tests for dpnp=0.21.0dev2=py313h509198e_8 ran successfully.
Passed: 1355
Failed: 5
Skipped: 16