How does NumPy handle internal dtype comparison and compatibility checks?

NumPy uses a dtype hierarchy and promotion rules to determine compatibility between operands.

Before executing operations, NumPy evaluates dtype compatibility using a predefined type hierarchy. If types differ, NumPy promotes them to a common safe type. This ensures no precision loss unless explicitly requested. Compatibility checks are performed at ufunc dispatch time.