code: def _a_ij_Aij_Dij2(A):
      """A term that appears in the ASE of Kendall's tau and Somers' D."""
      # See `somersd` References [2] section 4:
      # Modified ASEs to test the null hypothesis...
      m, n = A.shape
      count = 0
      for i in range(m):
          for j in range(n):
              count += A[i, j] * (_Aij(A, i, j) - _Dij(A, i, j)) ** 2
      return count
  
file_path: scipy/scipy/stats/_stats_pythran.py
imports: import numpy
label_desc: Use image node_id 5 for calling a global function with example usage: _a_ij_Aij_Dij2(A) and returns: count