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Fix abort in top_k for k=0 (#3022)
`dpnp.tensor.top_k(x, 0)` might aborted the process on an assertions-enabled SYCL runtime: ```python import dpnp.tensor as dpt dpt.top_k(dpt.arange(12).reshape(3, 4), 0) # k = 0 ``` `k == 0` is a valid request whose result is empty, and it passes validation (`k < 0` is rejected, `k > size` is rejected, but `k == 0` is allowed). `py_topk` then dispatched to the kernel, whose output-writing step (`write_out_impl`) builds an `nd_range` from `nelems = iter_nelems * k`. A zero-sized `nd_range` is a silent no-op on runtimes built with `NDEBUG`, but aborts on an assertions-enabled SYCL runtime. The existing guard covered `iter_nelems == 0` and `axis_nelems == 0`, but not `k == 0`. This PR proposes to extend the early-return guard in `py_topk` to also cover `k == 0`. 9b62c27
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