[CI]: Upgrade pre-commit-hook in the dev-1.x branch (#1893)

* update pre-commit-hook config

* fix typos in new pre-commit-hook

Author: JingweiZhang12

.pre-commit-config.yaml

@@ -1,18 +1,18 @@
 repos:
   - repo: https://github.com/PyCQA/flake8
-    rev: 3.8.3
+    rev: 5.0.4
     hooks:
       - id: flake8
   - repo: https://github.com/PyCQA/isort
     rev: 5.10.1
     hooks:
       - id: isort
   - repo: https://github.com/pre-commit/mirrors-yapf
-    rev: v0.30.0
+    rev: v0.32.0
     hooks:
       - id: yapf
   - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v3.1.0
+    rev: v4.3.0
     hooks:
       - id: trailing-whitespace
       - id: check-yaml
@@ -25,7 +25,7 @@ repos:
       - id: mixed-line-ending
         args: ["--fix=lf"]
   - repo: https://github.com/codespell-project/codespell
-    rev: v2.1.0
+    rev: v2.2.1
     hooks:
       - id: codespell
   - repo: https://github.com/executablebooks/mdformat

docs/en/advanced_guides/customize_runtime.md

@@ -234,7 +234,7 @@ Actually, both [`IterBasedTrainLoop`](https://github.com/open-mmlab/mmengine/blo
 
 ```python
 # Before 365001th iteration, we do evaluation every 5000 iterations.
-# After 365000th iteration, we do evaluation every 368750 iteraions,
+# After 365000th iteration, we do evaluation every 368750 iterations,
 # which means that we do evaluation at the end of training.
 
 interval = 5000

docs/en/user_guides/config.md

@@ -411,7 +411,7 @@ param_scheduler = [
 
 ### Hook config
 
-Users can attach hooks to training, validation, and testing loops to insert some oprations during running. There are two different hook fields, one is `default_hooks` and the other is `custom_hooks`.
+Users can attach hooks to training, validation, and testing loops to insert some operations during running. There are two different hook fields, one is `default_hooks` and the other is `custom_hooks`.
 
 `default_hooks` is a dict of hook configs. `default_hooks` are the hooks must required at runtime. They have default priority which should not be modified. If not set, runner will use the default values. To disable a default hook, users can set its config to `None`.
 

mmdet3d/datasets/transforms/dbsampler.py

@@ -98,19 +98,21 @@ class DataBaseSampler(object):
             for more details. Defaults to dict(backend='disk').
     """
 
-    def __init__(self,
-                 info_path: str,
-                 data_root: str,
-                 rate: float,
-                 prepare: dict,
-                 sample_groups: dict,
-                 classes: Optional[List[str]] = None,
-                 points_loader: dict = dict(
-                     type='LoadPointsFromFile',
-                     coord_type='LIDAR',
-                     load_dim=4,
-                     use_dim=[0, 1, 2, 3]),
-                 file_client_args: dict = dict(backend='disk')) -> None:
+    def __init__(
+        self,
+        info_path: str,
+        data_root: str,
+        rate: float,
+        prepare: dict,
+        sample_groups: dict,
+        classes: Optional[List[str]] = None,
+        points_loader: dict = dict(
+            type='LoadPointsFromFile',
+            coord_type='LIDAR',
+            load_dim=4,
+            use_dim=[0, 1, 2, 3]),
+        file_client_args: dict = dict(backend='disk')
+    ) -> None:
         super().__init__()
         self.data_root = data_root
         self.info_path = info_path
@@ -304,9 +306,7 @@ def sample_all(self,
 
         return ret
 
-    def sample_class_v2(self,
-                        name: str,
-                        num: int,
+    def sample_class_v2(self, name: str, num: int,
                         gt_bboxes: np.ndarray) -> List[dict]:
         """Sampling specific categories of bounding boxes.
 

mmdet3d/datasets/transforms/formating.py

@@ -72,7 +72,8 @@ def __init__(
                             'sample_idx', 'pcd_scale_factor', 'pcd_rotation',
                             'pcd_rotation_angle', 'lidar_path',
                             'transformation_3d_flow', 'trans_mat',
-                            'affine_aug')) -> None:
+                            'affine_aug')
+    ) -> None:
         self.keys = keys
         self.meta_keys = meta_keys
 

mmdet3d/datasets/transforms/loading.py

@@ -25,11 +25,9 @@ class LoadMultiViewImageFromFiles(BaseTransform):
             Defaults to 'unchanged'.
     """
 
-    def __init__(
-        self,
-        to_float32: bool = False,
-        color_type: str = 'unchanged'
-    ) -> None:
+    def __init__(self,
+                 to_float32: bool = False,
+                 color_type: str = 'unchanged') -> None:
         self.to_float32 = to_float32
         self.color_type = color_type
 
@@ -154,16 +152,14 @@ class LoadPointsFromMultiSweeps(BaseTransform):
             Defaults to False.
     """
 
-    def __init__(
-        self,
-        sweeps_num: int = 10,
-        load_dim: int = 5,
-        use_dim: List[int] = [0, 1, 2, 4],
-        file_client_args: dict = dict(backend='disk'),
-        pad_empty_sweeps: bool = False,
-        remove_close: bool = False,
-        test_mode: bool = False
-    ) -> None:
+    def __init__(self,
+                 sweeps_num: int = 10,
+                 load_dim: int = 5,
+                 use_dim: List[int] = [0, 1, 2, 4],
+                 file_client_args: dict = dict(backend='disk'),
+                 pad_empty_sweeps: bool = False,
+                 remove_close: bool = False,
+                 test_mode: bool = False) -> None:
         self.load_dim = load_dim
         self.sweeps_num = sweeps_num
         self.use_dim = use_dim
@@ -195,11 +191,9 @@ def _load_points(self, pts_filename: str) -> np.ndarray:
                 points = np.fromfile(pts_filename, dtype=np.float32)
         return points
 
-    def _remove_close(
-        self,
-        points: Union[np.ndarray, BasePoints],
-        radius: float = 1.0
-    ) -> Union[np.ndarray, BasePoints]:
+    def _remove_close(self,
+                      points: Union[np.ndarray, BasePoints],
+                      radius: float = 1.0) -> Union[np.ndarray, BasePoints]:
         """Removes point too close within a certain radius from origin.
 
         Args:

mmdet3d/datasets/transforms/test_time_aug.py

@@ -46,7 +46,7 @@ def __init__(self,
         self.img_scale = img_scale if isinstance(img_scale,
                                                  list) else [img_scale]
         self.pts_scale_ratio = pts_scale_ratio \
-            if isinstance(pts_scale_ratio, list) else[float(pts_scale_ratio)]
+            if isinstance(pts_scale_ratio, list) else [float(pts_scale_ratio)]
 
         assert mmengine.is_list_of(self.img_scale, tuple)
         assert mmengine.is_list_of(self.pts_scale_ratio, float)

mmdet3d/datasets/transforms/transforms_3d.py

@@ -1221,10 +1221,8 @@ def _input_generation(self, coords: np.ndarray, patch_center: np.ndarray,
         return points
 
     def _patch_points_sampling(
-        self,
-        points: BasePoints,
-        sem_mask: np.ndarray
-    ) -> Tuple[BasePoints, np.ndarray]:
+            self, points: BasePoints,
+            sem_mask: np.ndarray) -> Tuple[BasePoints, np.ndarray]:
         """Patch points sampling.
 
         First sample a valid patch.
@@ -1470,9 +1468,7 @@ def __init__(self,
             self.prev_voxel_generator = None
             self.prev_voxel_num = 0
 
-    def _sample_points(self,
-                       points: np.ndarray,
-                       sampler: VoxelGenerator,
+    def _sample_points(self, points: np.ndarray, sampler: VoxelGenerator,
                        point_dim: int) -> np.ndarray:
         """Sample points for each points subset.
 

mmdet3d/models/builder.py

@@ -92,7 +92,7 @@ def build_segmentor(cfg, train_cfg=None, test_cfg=None):
 
 
 def build_model(cfg, train_cfg=None, test_cfg=None):
-    """A function warpper for building 3D detector or segmentor according to
+    """A function wrapper for building 3D detector or segmentor according to
     cfg.
 
     Should be deprecated in the future.

mmdet3d/models/detectors/dynamic_voxelnet.py

@@ -10,7 +10,8 @@
 
 @MODELS.register_module()
 class DynamicVoxelNet(VoxelNet):
-    r"""VoxelNet using `dynamic voxelization <https://arxiv.org/abs/1910.06528>`_.
+    r"""VoxelNet using `dynamic voxelization
+    <https://arxiv.org/abs/1910.06528>`_.
     """
 
     def __init__(self,