def test_sparse_pianoroll_to_dense_subtracts_min_note(self):
sparse_pianoroll = [(4, 5), (5, 4), (), (5, ), (), ()]
dense_pianoroll, num_timesteps = datasets.sparse_pianoroll_to_dense(
sparse_pianoroll, min_note=4, num_notes=2)
self.assertEqual(num_timesteps, 6)
self.assertAllEqual([[1, 1], [1, 1], [0, 0], [0, 1], [0, 0], [0, 0]],
dense_pianoroll)
def test_sparse_pianoroll_to_dense_empty_at_end(self):
sparse_pianoroll = [(0, 1), (1, 0), (), (1, ), (), ()]
dense_pianoroll, num_timesteps = datasets.sparse_pianoroll_to_dense(
sparse_pianoroll, min_note=0, num_notes=2)
self.assertEqual(num_timesteps, 6)
self.assertAllEqual([[1, 1], [1, 1], [0, 0], [0, 1], [0, 0], [0, 0]],
dense_pianoroll)
def test_sparse_pianoroll_to_dense_simple(self):
sparse_pianoroll = [(0,), (), (1,)]
dense_pianoroll, num_timesteps = datasets.sparse_pianoroll_to_dense(
sparse_pianoroll, min_note=0, num_notes=2)
self.assertEqual(num_timesteps, 3)
self.assertAllEqual([[1, 0],
[0, 0],
[0, 1]], dense_pianoroll)
def test_sparse_pianoroll_to_dense_uses_num_notes(self):
sparse_pianoroll = [(4, 5), (5, 4), (), (5,), (), ()]
dense_pianoroll, num_timesteps = datasets.sparse_pianoroll_to_dense(
sparse_pianoroll, min_note=4, num_notes=3)
self.assertEqual(num_timesteps, 6)
self.assertAllEqual([[1, 1, 0],
[1, 1, 0],
[0, 0, 0],
[0, 1, 0],
[0, 0, 0],
[0, 0, 0]], dense_pianoroll)
def test_sparse_pianoroll_to_dense_empty_at_end(self):
sparse_pianoroll = [(0, 1), (1, 0), (), (1,), (), ()]
dense_pianoroll, num_timesteps = datasets.sparse_pianoroll_to_dense(
sparse_pianoroll, min_note=0, num_notes=2)
self.assertEqual(num_timesteps, 6)
self.assertAllEqual([[1, 1],
[1, 1],
[0, 0],
[0, 1],
[0, 0],
[0, 0]], dense_pianoroll)