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