[FEA] Implement cudf.pandas Profiler using sys.monitoring

[mroeschke]

Is your feature request related to a problem? Please describe.
Currently the cudf.pandas.Profiler uses sys.settrace to profile lines or cudf.pandas fast-slow calls. Currently the downsides of this approach is:

1. The tracing function is called for every frame while we're only interested in certain events (line and function calls) providing unnecessary overhead otherwise.
2. Maintaining some complexity in a monolithic tracing function.

Describe the solution you'd like
The sys.monitoring namespace, a new Python 3.12 feature, should be able to address both downsides: https://docs.python.org/3/library/sys.monitoring.html

1. We can register a callback for specific events only (sys.monitoring.events.LINE, sys.monitoring.events.CALL)
2. We can isolate profiling logic for each event

@contextmanager
def profile(function_profile, line_profile, fn):
    if line_profile:
        sys.monitoring.register_callback(sys.monitoring.PROFILER_ID, sys.monitoring.events.LINE, line_profiler)
    elif function_profile:
        sys.monitoring.register_callback(sys.monitoring.PROFILER_ID, sys.monitoring.events.CALL, function_profiler)

Additionally we may find opportunities to improve profiling performance by disabling the profiling by having the callback return sys.monitoring.DISABLE.

Describe alternatives you've considered
Status quo