def test_load_features_pass_trajectory_as_topology(self): import mdtraj t = mdtraj.load(pdb_file) features = api.featurizer(t) traj_files = [f for f in self.bpti_mini_files if f.endswith('.netcdf')] load(traj_files, features=features)
def test_load_trajs(self): features = api.featurizer(pdb_file) res = load(traj_files, features) self.assertEqual(type(res), list) self.assertTrue(all(type(x) == np.ndarray for x in res))
def test_load_traj(self): filename = traj_files[0] features = api.featurizer(pdb_file) res = load(filename, features) self.assertEqual(type(res), np.ndarray)
def testUnicodeString(self): filename = text_type(traj_files[0]) features = api.featurizer(pdb_file) load(filename, features)
def testUnicodeString(self): filename = u''.join(traj_files[0]) features = api.featurizer(pdb_file) load(filename, features)
def testUnicodeString(self): filename = unicode(traj_files[0]) features = api.featurizer(pdb_file) load(filename, features)