code: def collapse_bug0(x, m, btx):
      n = int(np.log2(m))
      lv = np.zeros((x.shape[0], n))
      N = x.shape[0]
      # omp parallel for collapse(2)
      for i in range(N):
          for k in range(n):
              lv[i, k] = abs(x[i] - btx[k])
      return lv
  
imports: import numpy
label_desc: Use image node_id 1 for calling a global function with example usage: collapse_bug0(x, m, btx) and returns: lv