diff --git a/modules/mol/alg/pymod/lddt.py b/modules/mol/alg/pymod/lddt.py index 40e98d90c6a287b0baf7eb687dd3a8c86c723ff2..e58784bd4c7fcd78e820fc5ba86cc69564259106 100644 --- a/modules/mol/alg/pymod/lddt.py +++ b/modules/mol/alg/pymod/lddt.py @@ -841,10 +841,10 @@ class lDDTScorer: """Compute distance related members of lDDTScorer """ # init - self._ref_indices = [[] for idx in range(self.n_atoms)] - self._ref_distances = [[] for idx in range(self.n_atoms)] - self._sym_ref_indices = [[] for idx in range(self.n_atoms)] - self._sym_ref_distances = [[] for idx in range(self.n_atoms)] + self._ref_indices = [np.asarray([], dtype=np.int64) for idx in range(self.n_atoms)] + self._ref_distances = [np.asarray([], dtype=np.float64) for idx in range(self.n_atoms)] + self._sym_ref_indices = [np.asarray([], dtype=np.int64) for idx in range(self.n_atoms)] + self._sym_ref_distances = [np.asarray([], dtype=np.float64) for idx in range(self.n_atoms)] # initialize positions with values far in nirvana. If a position is not # set, it should be far away from any position in target (or at least @@ -888,10 +888,10 @@ class lDDTScorer: """Select subset of contacts only covering intra-chain contacts """ # init - self._ref_indices_sc = [[] for idx in range(self.n_atoms)] - self._ref_distances_sc = [[] for idx in range(self.n_atoms)] - self._sym_ref_indices_sc = [[] for idx in range(self.n_atoms)] - self._sym_ref_distances_sc = [[] for idx in range(self.n_atoms)] + self._ref_indices_sc = [np.asarray([], dtype=np.int64) for idx in range(self.n_atoms)] + self._ref_distances_sc = [np.asarray([], dtype=np.float64) for idx in range(self.n_atoms)] + self._sym_ref_indices_sc = [np.asarray([], dtype=np.int64) for idx in range(self.n_atoms)] + self._sym_ref_distances_sc = [np.asarray([], dtype=np.float64) for idx in range(self.n_atoms)] # start from overall contacts ref_indices = self.ref_indices @@ -920,10 +920,10 @@ class lDDTScorer: """Select subset of contacts only covering inter-chain contacts """ # init - self._ref_indices_ic = [[] for idx in range(self.n_atoms)] - self._ref_distances_ic = [[] for idx in range(self.n_atoms)] - self._sym_ref_indices_ic = [[] for idx in range(self.n_atoms)] - self._sym_ref_distances_ic = [[] for idx in range(self.n_atoms)] + self._ref_indices_ic = [np.asarray([], dtype=np.int64) for idx in range(self.n_atoms)] + self._ref_distances_ic = [np.asarray([], dtype=np.float64) for idx in range(self.n_atoms)] + self._sym_ref_indices_ic = [np.asarray([], dtype=np.int64) for idx in range(self.n_atoms)] + self._sym_ref_distances_ic = [np.asarray([], dtype=np.float64) for idx in range(self.n_atoms)] # start from overall contacts ref_indices = self.ref_indices