Add device-aware output dtype for dpt.round() with boolean input

[vlad-perevezentsev]

This PR proposes device-aware output dtype resolution for dpnp.tensor.round() with boolean input to handle devices that do not support float16

Boolean support for round() was originally added in #2817 6f5a792 to match NumPy behavior where numpy.round(bool) returns float16 rather than an integral type like int8.
However on devices without fp16 support, returning float16 is not viable.

The bool type mapping was removed from the round kernel and an acceptance
function _acceptance_fn_round was added to ensure the fallback in _find_buf_dtype
prefers floating-point output over integral types for boolean input

result
fp16 devices: round(bool) -> float16
non-fp16 devices: round(bool) -> float32

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[coveralls]

Coverage is 77.876% — update_tensor_round into include-dpctl-tensor. No base build found for include-dpctl-tensor.

[github-actions]

Array API standard conformance tests for dpnp=0.20.0dev6=py313h509198e_58 ran successfully.
Passed: 1357
Failed: 3
Skipped: 16

[ndgrigorian]

aside from above points LGTM

[github-actions]

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

[antonwolfy]

LGTM
Thank you @vlad-perevezentsev