code: def _get_elem_at_rank(rank, data, n_negative, n_zeros):
      """Find the value in data augmented with n_zeros for the given rank"""
      if rank < n_negative:
          return data[rank]
      if rank - n_negative < n_zeros:
          return 0
      return data[rank - n_zeros]
  
imports: import numpy
  import scipy.sparse
  from ..utils.validation import _check_sample_weight
  from .sparsefuncs_fast import csc_mean_variance_axis0
  from .sparsefuncs_fast import csr_mean_variance_axis0
  from .sparsefuncs_fast import incr_mean_variance_axis0
label_desc: Use image node_id 21 for calling a global function with example usage: _get_elem_at_rank(rank, data, n_negative, n_zeros) and returns: data, data, int