code: def ground_truth_normalize_row(row, k, n, alpha, beta):
      assert row.ndim == 1
      out = np.zeros(row.shape)
      for i in range(row.shape[0]):
          s = k
          tot = 0
          for j in range(
              max(0, i - n // 2), min(row.shape[0], i + n // 2 + 1)
          ):
              tot += 1
              sq = row[j] ** 2.0
              assert sq > 0.0
              assert s >= k
              assert alpha > 0.0
              s += alpha * sq
              assert s >= k
          assert tot <= n
          assert s >= k
          s = s**beta
          out[i] = row[i] / s
      return out
  
imports: from mock import Mock
  import numpy
  import pytest
  import theano
label_desc: Use image node_id 2 for calling a global function with example usage: ground_truth_normalize_row(row, k, n, alpha, beta) and returns: out