Dear modeller caretakers,
please explain me the output of compare.py file,how to select the best template and what is Weighted pair-group average clustering based distance method?

thanks and regards.
---------------------------------------------------------------
Sequence identity comparison (ID_TABLE):

  Diagonal      ... number of residues;
  Upper triangle ... number of identical residues;
  Lower triangle ... % sequence identity, id/min(length).

        1uluA @11jw7A @12fhsA @1
1uluA @1      246    106    101
1jw7A @1      43    274    108
2fhsA @1      41      42    258


Weighted pair-group average clustering based on a distance matrix:


                                                              .--- 1uluA @1.0    57.0000
                                                              |
        .---------------------------------------------------------- 1jw7A @1.0    58.5000
        |
      .------------------------------------------------------------ 2fhsA @1.0

      +----+----+----+----+----+----+----+----+----+----+----+----+
    58.5600  58.2900  58.0200  57.7500  57.4800  57.2100  56.9400
        58.4250  58.1550  57.8850  57.6150  57.3450  57.0750