Return Python array API compatible device objects from inspection namespace (#2979)

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:
```python
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. 576a07b

Author: github-actions[bot]

reference/comparison.html

@@ -1040,7 +1040,7 @@
 <h1>Comparison Table NumPy/ DPNP/ CuPy<a class="headerlink" href="#comparison-table-numpy-dpnp-cupy" title="Link to this heading">¶</a></h1>
 <p>Here is a list of NumPy and CuPy APIs and its corresponding DPNP implementations.</p>
 <p><code class="docutils literal notranslate"><span class="pre">-</span></code> in DPNP column means that DPNP implementation is not provided yet.</p>
-<p><strong>NumPy(v2.5.1) / DPNP(v0.21.0dev2+13.gb9b515e3711) / CuPy(v14.1.1) APIs</strong></p>
+<p><strong>NumPy(v2.5.1) / DPNP(v0.21.0dev2+14.g576a07b9cff) / CuPy(v14.1.1) APIs</strong></p>
 <section id="summary">
 <h2>Summary<a class="headerlink" href="#summary" title="Link to this heading">¶</a></h2>
 <div class="table-wrapper docutils container">