Sampling multiple quantized UniformIntegerHyperparameters gives floats

[eddiebergman]

import numpy as np
from ConfigSpace import UniformIntegerHyperparameter

u = UniformIntegerHyperparameter("u", 1, 10, q=3)

rs = np.random.RandomState(3)
u._sample(rs, 10)
Out[21]: 
array([0.0499991, 0.3499997, 0.6500003, 0.3499997, 0.6500003, 0.6500003,
       0.0499991, 0.6500003, 0.3499997, 0.3499997])

It is a private method but it's got the size parameter that the public sample is missing.
The workaround

samples = [u.sample(rs) for _ in range(10)]

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Enhancement would just be add this as a parameter to public sample

[eddiebergman]

Removed quantization in #346