code: def apply_2_to_4(matrix):
      for row in range(matrix.shape[0]):
          for col in range(0, matrix.shape[1], 4):
              ix = np.argsort(np.abs(matrix[row, col : col + 4]))
              matrix[row, col + ix[0]] = 0.0
              matrix[row, col + ix[1]] = 0.0
      return matrix
  
imports: import numpy
  import time
  import subprocess
  import math
label_desc: Use image node_id 2 for calling a global function with example usage: apply_2_to_4(matrix) and returns: matrix