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Return complex arrays from eig / eigvals (#2953)

NumPY 2.5 changed `numpy.linalg.eig` and `numpy.linalg.eigvals` so that
for general (non-symmetric) matrices they always return complex-typed
eigenvalues, instead of value-dependently casting the result back to a
real type when the imaginary parts happen to be zero. For real input,
float64 now yields complex128 and float32 yields complex64.

dpnp.linalg.eig / eigvals are thin NumPy fallbacks (the OneMKL geev
routine is not yet wired up), so they inherit this behavior directly
from the installed NumPy.

This PR brings dpnp's documentation in line with the new always-complex
output.

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