code: def load_hypergraph_adjacency(hdf5_file_name):
      
  
      with tables.open_file(hdf5_file_name, 'r+') as fileh:
          pars = []
          for par in ('data', 'indices', 'indptr', 'shape'):
              pars.append(getattr(fileh.root.consensus_group, par).read())
  
      hypergraph_adjacency = scipy.sparse.csr_matrix(tuple(pars[:3]), shape = pars[3])
      
      return hypergraph_adjacency
docs: Parameters
      ----------
      hdf5_file_name : file handle or string
      
      Returns
      -------
      hypergraph_adjacency : compressed sparse row matrix