code: def _sum_abs_axis0(X):
      block_size = 2**20
      r = None
      for j in range(0, X.shape[0], block_size):
          y = np.sum(np.abs(X[j : j + block_size]), axis=0)
          if r is None:
              r = y
          else:
              r += y
      return r
  
file_path: scipy/scipy/sparse/linalg/_onenormest.py
imports: import numpy
  from scipy.sparse.linalg import aslinearoperator
label_desc: Use image node_id 5 for calling a global function with example usage: _sum_abs_axis0(X) and returns: r