code: def _evaluate_nearest(self, indices, norm_distances):
      idx_res = [
          where(yi <= 0.5, i, i + 1)
          for i, yi in zip(indices, norm_distances)
      ]
      return self.values[tuple(idx_res)]
  
file_path: jax/jax/_src/third_party/scipy/interpolate.py
imports: from itertools import product
  import scipy.interpolate
  from jax.numpy import asarray, broadcast_arrays, can_cast, empty, nan, searchsorted, where, zeros
  from jax._src.tree_util import register_pytree_node
  from jax._src.numpy.util import check_arraylike, promote_dtypes_inexact, _wraps
label_desc: Use image node_id 4 for calling the RegularGridInterpolator obj's underlying member method code with example usage: obj._evaluate_nearest(indices, norm_distances) and returns: self