code: def nr_profiles(arr, genomes):
      
      gs_collapse = []
      genome_idx_dict = {}
      indices = []
      patt_dict = {}
      for i, g in enumerate(genomes):
          p = arr[i, :].tostring()
          if p in patt_dict:
              parent = patt_dict[p]
              idx = genome_idx_dict[parent]
              gs_collapse[idx].append(g)
          else:
              indices.append(i)
              patt_dict[p] = g
              genome_idx_dict[g] = len(gs_collapse)
              gs_collapse.append([g])
      return arr[indices, :], gs_collapse
docs: Get a condensed cgMLST pairwise distance matrix for specified Genomes_
      where condensed means redundant cgMLST profiles are only represented once in the distance matrix.
  
      Args:
          user_name (list): List of Genome_ names to retrieve condensed distance matrix for
  
      Returns:
          (numpy.array, list): tuple of condensed cgMLST distance matrix and list of grouped Genomes_