A bunch of errors when using categoricals

[OVPavlov]

Win 10
hpbandster Version: 0.7.4
python37

I use BOHB locally with parameters:
n_iterations=7,
min_budget=1,
max_budget=10,

I'm using custom wrapper for config for simplicity 
search_space_config = {
    'x': uniform(0, 50),
    'y': [1, 2],
}

simple compute function just to test the package
def compute(conf, budget)
    loss = conf['x'] + conf['y'] + (10 / budget)
   return loss

randomly generates errors like this:

...\Python37\site-packages\hpbandster\optimizers\config_generators\bohb.py:140: RuntimeWarning: invalid value encountered in true_divide
  minimize_me = lambda x: max(1e-32, g(x))/max(l(x),1e-32)

or like this:

...\Python37\site-packages\statsmodels\nonparametric\kernels.py:62: RuntimeWarning: divide by zero encountered in true_divide
  kernel_value = np.ones(Xi.size) * h / (num_levels - 1)

or like this:

WARNING:hpbandster:sampled vector: [0.23518812254059032, 0] has EI value nan
WARNING:hpbandster:data in the KDEs:
[[0.00980373 1.        ]
 [0.04901943 1.        ]
 [0.18627439 1.        ]]
[[0.20588224 1.        ]
 [0.77450991 1.        ]
 [0.85294131 1.        ]]
WARNING:hpbandster:bandwidth of the KDEs:
[0.06678006 0.001     ]
[0.25448712 0.001     ]
WARNING:hpbandster:l(x) = inf
WARNING:hpbandster:g(x) = inf

withount categoricals everything works fine