code: def _internal_sampler(self) -> tp.ArrayLike:
      assert self.budget is not None
      return np.concatenate(
          (
              [(self.index + 0.5) / float(self.budget)],
              super()._internal_sampler(),
          )
      )
  
imports: import numpy
  from numpy.random import RandomState
  import nevergrad.common.typing
  from nevergrad.common.decorators import Registry
label_desc: Use image node_id 2 for calling the HammersleySampler obj's underlying member method code with example usage: obj._internal_sampler() and returns: np