fix(tests): remove lint warnings/errors

This commit is contained in:
Steven Palma
2025-03-07 14:45:09 +01:00
parent e59ef036e1
commit 0eb56cec14
24 changed files with 163 additions and 133 deletions

View File

@@ -74,7 +74,7 @@ def test_non_mutate():
def test_index_error_no_data():
buffer, _ = make_new_buffer()
with pytest.raises(IndexError):
buffer[0]
_ = buffer[0]
def test_index_error_with_data():
@@ -83,9 +83,9 @@ def test_index_error_with_data():
new_data = make_spoof_data_frames(1, n_frames)
buffer.add_data(new_data)
with pytest.raises(IndexError):
buffer[n_frames]
_ = buffer[n_frames]
with pytest.raises(IndexError):
buffer[-n_frames - 1]
_ = buffer[-n_frames - 1]
@pytest.mark.parametrize("do_reload", [False, True])
@@ -185,7 +185,7 @@ def test_delta_timestamps_outside_tolerance_inside_episode_range():
buffer.add_data(new_data)
buffer.tolerance_s = 0.04
with pytest.raises(AssertionError):
buffer[2]
_ = buffer[2]
def test_delta_timestamps_outside_tolerance_outside_episode_range():
@@ -229,6 +229,7 @@ def test_compute_sampler_weights_trivial(
weights = compute_sampler_weights(
offline_dataset, online_dataset=online_dataset, online_sampling_ratio=online_sampling_ratio
)
expected_weights: torch.Tensor = None
if offline_dataset_size == 0 or online_dataset_size == 0:
expected_weights = torch.ones(offline_dataset_size + online_dataset_size)
elif online_sampling_ratio == 0: