feat: fix format

Signed-off-by: Kaan Çolak <kaancolak95@gmail.com>

Author: kaancolak

projects/AutowareCenterPoint/tests/test_pillar_encorder_autoware.py

@@ -1,10 +1,11 @@
 import pytest
 import torch
-import logging
 
 from mmdet3d.registry import MODELS
+from projects.AutowareCenterPoint.centerpoint.pillar_encoder_autoware import \
+    PillarFeatureNetAutoware # noqa: F401
+
 
-import projects.AutowareCenterPoint.centerpoint.pillar_encoder_autoware
 def test_pillar_feature_net_autoware():
 
     use_voxel_center_z = False
@@ -29,9 +30,11 @@ def test_pillar_feature_net_autoware():
     features = pillar_feature_net_autoware(features, num_voxels, coors)
 
     if not use_voxel_center_z:
-        assert pillar_feature_net_autoware.pfn_layers[0].linear.in_features == 9
+        assert pillar_feature_net_autoware.pfn_layers[
+            0].linear.in_features == 9
     else:
-        assert pillar_feature_net_autoware.pfn_layers[0].linear.in_features == 9
+        assert pillar_feature_net_autoware.pfn_layers[
+            0].linear.in_features == 9
 
     assert pillar_feature_net_autoware.pfn_layers[0].linear.out_features == 64
 

projects/AutowareCenterPoint/tests/test_t4_dataset.py

@@ -3,17 +3,14 @@
 from mmengine.registry import TRANSFORMS
 from mmengine.structures import InstanceData
 
-from mmdet3d.datasets import NuScenesDataset
 from mmdet3d.structures import Det3DDataSample, LiDARInstance3DBoxes
-
 from projects.AutowareCenterPoint.datasets.tier4_dataset import T4Dataset
 
+
 def _generate_t4_dataset_config():
     data_root = 'data/sample_dataset/'
     ann_file = 'T4Dataset_infos_train.pkl'
-    classes = [
-        'car', 'truck', 'bus', 'bicycle', 'pedestrian'
-    ]
+    classes = ['car', 'truck', 'bus', 'bicycle', 'pedestrian']
 
     if 'Identity' not in TRANSFORMS: