[Enhancement] Upgrade isort in pre-commit hook (#1217)

* update isort

* update setuptools

* fix

* pre-commit run --all-files

mmdet3d/models/fusion_layers/coord_transform.py

 # Copyright (c) OpenMMLab. All rights reserved.
-import torch
 from functools import partial
 
+import torch
+
 from mmdet3d.core.points import get_points_type
 
 

mmdet3d/models/necks/dla_neck.py

 # Copyright (c) OpenMMLab. All rights reserved.
 import math
+
 import numpy as np
 from mmcv.cnn import ConvModule, build_conv_layer
 from mmcv.runner import BaseModule

mmdet3d/models/roi_heads/base_3droi_head.py

 # Copyright (c) OpenMMLab. All rights reserved.
 from abc import ABCMeta, abstractmethod
+
 from mmcv.runner import BaseModule
 
 

mmdet3d/models/roi_heads/part_aggregation_roi_head.py

 # Copyright (c) OpenMMLab. All rights reserved.
 import warnings
+
 from torch.nn import functional as F
 
 from mmdet3d.core import AssignResult

mmdet3d/models/segmentors/base.py

 # Copyright (c) OpenMMLab. All rights reserved.
+from os import path as osp
+
 import mmcv
 import numpy as np
 import torch
 from mmcv.parallel import DataContainer as DC
 from mmcv.runner import auto_fp16
-from os import path as osp
 
 from mmdet3d.core import show_seg_result
 from mmseg.models.segmentors import BaseSegmentor

mmdet3d/ops/furthest_point_sample/points_sampler.py

 # Copyright (c) OpenMMLab. All rights reserved.
+from typing import List
+
 import torch
 from mmcv.runner import force_fp32
 from torch import nn as nn
-from typing import List
 
 from .furthest_point_sample import (furthest_point_sample,
                                     furthest_point_sample_with_dist)

mmdet3d/ops/group_points/group_points.py

 # Copyright (c) OpenMMLab. All rights reserved.
+from typing import Tuple
+
 import torch
 from torch import nn as nn
 from torch.autograd import Function
-from typing import Tuple
 
 from ..ball_query import ball_query
 from ..knn import knn

mmdet3d/ops/interpolate/three_interpolate.py

 # Copyright (c) OpenMMLab. All rights reserved.
+from typing import Tuple
+
 import torch
 from torch.autograd import Function
-from typing import Tuple
 
 from . import interpolate_ext
 

mmdet3d/ops/interpolate/three_nn.py

 # Copyright (c) OpenMMLab. All rights reserved.
+from typing import Tuple
+
 import torch
 from torch.autograd import Function
-from typing import Tuple
 
 from . import interpolate_ext
 

mmdet3d/ops/paconv/paconv.py

 # Copyright (c) OpenMMLab. All rights reserved.
 import copy
+
 import torch
 from mmcv.cnn import (ConvModule, build_activation_layer, build_norm_layer,
                       constant_init)

mmdet3d/ops/pointnet_modules/point_fp_module.py

 # Copyright (c) OpenMMLab. All rights reserved.
+from typing import List
+
 import torch
 from mmcv.cnn import ConvModule
 from mmcv.runner import BaseModule, force_fp32
 from torch import nn as nn
-from typing import List
 
 from mmdet3d.ops import three_interpolate, three_nn
 

mmdet3d/ops/spconv/conv.py

@@ -12,6 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 import math
+
 import numpy as np
 import torch
 from mmcv.cnn import CONV_LAYERS

mmdet3d/ops/spconv/modules.py

@@ -12,8 +12,9 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 import sys
-import torch
 from collections import OrderedDict
+
+import torch
 from torch import nn
 
 from .structure import SparseConvTensor

mmdet3d/ops/spconv/test_utils.py

@@ -11,9 +11,10 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-import numpy as np
 import unittest
 
+import numpy as np
+
 
 class TestCase(unittest.TestCase):
 

mmdet3d/utils/logger.py

 # Copyright (c) OpenMMLab. All rights reserved.
 import logging
+
 from mmcv.utils import get_logger
 
 

setup.cfg

@@ -6,7 +6,7 @@ SPLIT_BEFORE_EXPRESSION_AFTER_OPENING_PAREN = true
 [isort]
 line_length = 79
 multi_line_output = 0
-known_standard_library = setuptools
+extra_standard_library = setuptools
 known_first_party = mmdet,mmseg,mmdet3d
 known_third_party = cv2,imageio,indoor3d_util,load_scannet_data,lyft_dataset_sdk,m2r,matplotlib,mmcv,nuimages,numba,numpy,nuscenes,pandas,plyfile,pycocotools,pyquaternion,pytest,pytorch_sphinx_theme,recommonmark,requests,scannet_utils,scipy,seaborn,shapely,skimage,sphinx,tensorflow,terminaltables,torch,trimesh,ts,waymo_open_dataset
 no_lines_before = STDLIB,LOCALFOLDER

setup.py

-from setuptools import find_packages, setup
-
 import os
 import platform
 import shutil
 import sys
-import torch
 import warnings
 from os import path as osp
+from setuptools import find_packages, setup
+
+import torch
 from torch.utils.cpp_extension import (BuildExtension, CppExtension,
                                        CUDAExtension)
 

tests/test_data/test_datasets/test_kitti_dataset.py

 # Copyright (c) OpenMMLab. All rights reserved.
 import math
-import numpy as np
 import os
-import pytest
 import tempfile
+
+import numpy as np
+import pytest
 import torch
 
 from mmdet3d.core.bbox import LiDARInstance3DBoxes, limit_period
@@ -255,9 +256,10 @@ def test_evaluate():
 
 
 def test_show():
-    import mmcv
     from os import path as osp
 
+    import mmcv
+
     from mmdet3d.core.bbox import LiDARInstance3DBoxes
     tmp_dir = tempfile.TemporaryDirectory()
     temp_dir = tmp_dir.name

tests/test_data/test_datasets/test_lyft_dataset.py

 # Copyright (c) OpenMMLab. All rights reserved.
+import tempfile
+
 import mmcv
 import numpy as np
-import tempfile
 import torch
 
 from mmdet3d.core import limit_period
@@ -140,9 +141,10 @@ def test_evaluate():
 
 
 def test_show():
-    import mmcv
     from os import path as osp
 
+    import mmcv
+
     from mmdet3d.core.bbox import LiDARInstance3DBoxes
     tmp_dir = tempfile.TemporaryDirectory()
     temp_dir = tmp_dir.name

tests/test_data/test_datasets/test_nuscene_dataset.py

 # Copyright (c) OpenMMLab. All rights reserved.
-import numpy as np
 import tempfile
+
+import numpy as np
 import torch
 
 from mmdet3d.datasets import NuScenesDataset
@@ -65,9 +66,10 @@ def test_getitem():
 
 
 def test_show():
-    import mmcv
     from os import path as osp
 
+    import mmcv
+
     from mmdet3d.core.bbox import LiDARInstance3DBoxes
     tmp_dir = tempfile.TemporaryDirectory()
     temp_dir = tmp_dir.name