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Fix `dpnp.interp` to return a proper result for an empty input array `x` (#2985)

`dpnp.interp` raised `ValueError("array of sample points is empty")`
when called with an empty input array `x` (together with empty
`xp`/`fp`). NumPy returns an empty array in this case instead of
raising.

This PR aligns `dpnp.interp` with NumPy: an empty `x` now returns an
empty array carrying the correct dtype (including complex promotion from
`fp`), while all existing input validation is preserved.

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