def test_stridden_access(self):
reader = NumPyFileReader(self.f1)
reader.chunksize = 10
wanted = np.load(self.f1)
for stride in [2, 3, 5, 7, 15]:
first_traj = reader.get_output(stride=stride)[0]
np.testing.assert_equal(first_traj, wanted[::stride],
"did not match for stride %i" % stride)
def test_stridden_access(self):
reader = NumPyFileReader(self.f1)
reader.chunksize = 10
wanted = np.load(self.f1)
for stride in [2, 3, 5, 7, 15]:
first_traj = reader.get_output(stride=stride)[0]
np.testing.assert_equal(first_traj, wanted[::stride],
"did not match for stride %i" % stride)
def test_small_chunks(self):
reader = NumPyFileReader(self.npy_files)
reader.chunksize = 30
from_files = [np.load(f) for f in self.npy_files]
concatenated = np.vstack(from_files)
output = reader.get_output()
self.assertEqual(reader.number_of_trajectories(), len(self.npy_files))
self.assertEqual(reader.n_frames_total(), concatenated.shape[0])
for x, y in zip(output, from_files):
np.testing.assert_array_almost_equal(x, y)
def test_small_chunks(self):
reader = NumPyFileReader(self.npy_files)
reader.chunksize = 30
from_files = [np.load(f) for f in self.npy_files]
concatenated = np.vstack(from_files)
output = reader.get_output()
self.assertEqual(reader.number_of_trajectories(), len(self.npy_files))
self.assertEqual(reader.n_frames_total(), concatenated.shape[0])
for x, y in zip(output, from_files):
np.testing.assert_array_almost_equal(x, y)
