code: def read_matrix_params(path):
      with open(path) as file:
          line = file.readline()
          nrows, ncols, nnz = (int(el) for el in line.split(", "))
          return (nrows, ncols), nnz
  
file_path: pytorch/benchmarks/sparse/dlmc/utils.py
imports: import math
  from pathlib import Path
  import torch
  from scipy import sparse
label_desc: Use image node_id 3 for calling a global function with example usage: read_matrix_params(path) and returns: nrows,  ncols,  nnz