numpy 2.0 negative infinity backward compatibility broken

[markcoletti]

numpy has broken backward compatibility:

Traceback (most recent call last):
  File "/home/rkp/wicked-tuna/src/WickedMoo.py", line 18, in <module>
    class WickedMoo():
  File "/home/rkp/wicked-tuna/src/WickedMoo.py", line 132, in WickedMoo
    final_pop = steady_state_nsga_2(client, args.max_births,
  File "/home/rkp/miniforge3/lib/python3.10/site-packages/leap_ec/multiobjective/asynchronous.py", line 199, in steady_state_nsga_2
    return steady_state(
  File "/home/rkp/miniforge3/lib/python3.10/site-packages/leap_ec/distrib/asynchronous.py", line 207, in steady_state
    inserter(evaluated, pop, pop_size)
  File "/home/rkp/miniforge3/lib/python3.10/site-packages/leap_ec/multiobjective/asynchronous.py", line 140, in __call__
    per_rank_crowding_calc(lp, lp[0].problem.maximize)
  File "/home/rkp/miniforge3/lib/python3.10/site-packages/leap_ec/multiobjective/ops.py", line 186, in per_rank_crowding_calc
    f_max = np.full(num_objectives, np.NINF)
  File "/home/rkp/miniforge3/lib/python3.10/site-packages/numpy/__init__.py", line 397, in __getattr__
    raise AttributeError(
AttributeError: `np.NINF` was removed in the NumPy 2.0 release. Use `-np.inf` instead.