Fix OverflowError in comparison functions and divide for out-of-range integer scalars

[antonwolfy]

Comparison ufuncs (dpnp.equal, dpnp.not_equal, dpnp.less, dpnp.less_equal, dpnp.greater, dpnp.greater_equal) and dpnp.divide raised OverflowError when an integer array was compared with (or divided by) a Python int scalar outside the array dtype's range. NumPy handles these cases and returns a well-defined result, so this was a parity gap.

For example:

import dpnp
dpnp.less(dpnp.array([0, 1, 2**63, 2**64 - 1], dtype="u8"), -1)
# Out: OverflowError: Python integer -1 out of bounds for uint64

dpnp.divide(dpnp.array([0, 2, 2**63], dtype="u8"), -1)
# Out: OverflowError: Python integer -1 out of bounds for uint64

NumPy instead evaluates the comparison against the true value of the scalar (-1 is less than any uint64, so the result is all-False) and returns floating-point results for the division.

These functions used the default weak-type resolver _resolve_weak_types, which forces a Python integer scalar into the other operand's dtype before dispatch. When the scalar does not fit that dtype (a negative value against an unsigned array, or a value larger than the signed range), the coercion overflows and raises.

This PR:

• Pass weak_type_resolver=_resolve_weak_types_all_py_ints to the six comparison ufuncs in dpnp_iface_logic.py.
• Pass the same resolver to dpnp.divide in dpnp_iface_mathematical.py (also covers dpnp.true_divide).
• Un-skip test test_binary_array_pyscalar_int, which now passes

dpnp.floor_divide is intentionally left unchanged: NumPy itself raises OverflowError for out-of-range integer scalars there, and dpnp already matches that behavior.

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• Have you added your changes to the changelog?

[github-actions]

View rendered docs @ https://intelpython.github.io/dpnp/pull/3017/index.html

[github-actions]

Array API standard conformance tests for dpnp=0.21.0dev4=py314h509198e_7 ran successfully.
Passed: 1375
Failed: 2
Skipped: 5

[coveralls]

No base build to compare — fix/int-scalar-comparison-overflow into master