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 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 = unicode(traj_files[0])
features = api.featurizer(pdb_file)
load(filename, features)