Upgrade the versions of pre-commit hooks (#2328)

2022-10-11 14:09:10 +08:00 · 2022-10-11 14:09:10 +08:00 · 75ea2f8995
parent 07e8775f09
commit 75ea2f8995
10 changed files with 26 additions and 26 deletions
--- a/.pre-commit-config-zh-cn.yaml
+++ b/.pre-commit-config-zh-cn.yaml
@ -1,7 +1,7 @@
 exclude: ^tests/data/
 repos:
  - repo: https://gitee.com/openmmlab/mirrors-flake8
-    rev: 3.8.3
+    rev: 5.0.4
    hooks:
      - id: flake8
  - repo: https://gitee.com/openmmlab/mirrors-isort
@ -9,11 +9,11 @@ repos:
    hooks:
      - id: isort
  - repo: https://gitee.com/openmmlab/mirrors-yapf
-    rev: v0.30.0
+    rev: v0.32.0
    hooks:
      - id: yapf
  - repo: https://gitee.com/openmmlab/mirrors-pre-commit-hooks
-    rev: v3.1.0
+    rev: v4.3.0
    hooks:
      - id: trailing-whitespace
      - id: check-yaml
@ -26,7 +26,7 @@ repos:
      - id: mixed-line-ending
        args: ["--fix=lf"]
  - repo: https://gitee.com/openmmlab/mirrors-codespell
-    rev: v2.1.0
+    rev: v2.2.1
    hooks:
      - id: codespell
  - repo: https://gitee.com/openmmlab/mirrors-mdformat
@ -44,7 +44,7 @@ repos:
      - id: docformatter
        args: ["--in-place", "--wrap-descriptions", "79"]
  - repo: https://github.com/asottile/pyupgrade
-    rev: v2.32.1
+    rev: v3.0.0
    hooks:
      - id: pyupgrade
        args: ["--py36-plus"]
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@ -1,7 +1,7 @@
 exclude: ^tests/data/
 repos:
  - repo: https://github.com/PyCQA/flake8
-    rev: 3.8.3
+    rev: 5.0.4
    hooks:
      - id: flake8
  - repo: https://github.com/PyCQA/isort
@ -9,11 +9,11 @@ repos:
    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
@ -26,7 +26,7 @@ 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
@ -44,7 +44,7 @@ repos:
      - id: docformatter
        args: ["--in-place", "--wrap-descriptions", "79"]
  - repo: https://github.com/asottile/pyupgrade
-    rev: v2.32.1
+    rev: v3.0.0
    hooks:
      - id: pyupgrade
        args: ["--py36-plus"]
--- a/docs/en/understand_mmcv/data_process.md
+++ b/docs/en/understand_mmcv/data_process.md
@ -265,12 +265,12 @@ mmcv.flowshow(flow)

 ![progress](../_static/flow_visualization.png)

-3. Flow warpping
+3. Flow warping

 ```python
 img1 = mmcv.imread('img1.jpg')
 flow = mmcv.flowread('flow.flo')
-warpped_img2 = mmcv.flow_warp(img1, flow)
+warped_img2 = mmcv.flow_warp(img1, flow)
 ```

 img1 (left) and img2 (right)
@ -281,6 +281,6 @@ optical flow (img2 -> img1)

 ![optical flow](../_static/flow_img2toimg1.png)

-warpped image and difference with ground truth
+warped image and difference with ground truth

-![warpped image](../_static/flow_warp_diff.png)
+![warped image](../_static/flow_warp_diff.png)
--- a/docs/zh_cn/understand_mmcv/data_process.md
+++ b/docs/zh_cn/understand_mmcv/data_process.md
@ -259,7 +259,7 @@ mmcv.flowshow(flow)
 ```python
 img1 = mmcv.imread('img1.jpg')
 flow = mmcv.flowread('flow.flo')
-warpped_img2 = mmcv.flow_warp(img1, flow)
+warped_img2 = mmcv.flow_warp(img1, flow)
 ```

 img1 (左) and img2 (右)
@ -272,4 +272,4 @@ img1 (左) and img2 (右)

 变换后的图像和真实图像的差异

-![warpped image](../../en/_static/flow_warp_diff.png)
+![warped image](../../en/_static/flow_warp_diff.png)
--- a/mmcv/ops/active_rotated_filter.py
+++ b/mmcv/ops/active_rotated_filter.py
@ -47,12 +47,12 @@ class ActiveRotatedFilterFunction(Function):
    def backward(ctx, grad_out: torch.Tensor) -> Tuple[torch.Tensor, None]:
        """
        Args:
-            grad_output (torch.Tensor): The gradiant of output features
+            grad_output (torch.Tensor): The gradient of output features
                with shape [num_output_planes * num_rotations,
                num_input_planes * num_orientations, H, W].

        Returns:
-            torch.Tensor: The gradiant of input features with shape
+            torch.Tensor: The gradient of input features with shape
            [num_output_planes, num_input_planes, num_orientations, H, W].
        """
        input, indices = ctx.saved_tensors
--- a/mmcv/ops/csrc/pytorch/mlu/psamask_mlu.cpp
+++ b/mmcv/ops/csrc/pytorch/mlu/psamask_mlu.cpp
@ -161,7 +161,7 @@ void PSAMaskForwardMLUKernelLauncher(const int psa_type, const Tensor x,
  TORCH_CHECK(h_feature * w_feature == y_c,
              "channel of y should be the same as h_feature * w_feature");
  TORCH_CHECK(psa_type == 0 || psa_type == 1,
-              "psa_type only suppurts 'COLLECT' and 'DISTRIBUTE' currently");
+              "psa_type only supports 'COLLECT' and 'DISTRIBUTE' currently");

  if (x.numel() == 0) {
    CNLOG(INFO) << "skip zero-element tensor";
@ -227,7 +227,7 @@ void PSAMaskBackwardMLUKernelLauncher(const int psa_type, const Tensor dy,
  TORCH_CHECK(h_mask * w_mask == dx_c,
              "channel of dx should be the same as h_mask * w_mask");
  TORCH_CHECK(psa_type == 0 || psa_type == 1,
-              "psa_type only suppurts 'COLLECT' and 'DISTRIBUTE' currently");
+              "psa_type only supports 'COLLECT' and 'DISTRIBUTE' currently");

  if (dx.numel() == 0) {
    CNLOG(INFO) << "skip zero-element tensor";
--- a/mmcv/ops/csrc/pytorch/mlu/roi_align_mlu.cpp
+++ b/mmcv/ops/csrc/pytorch/mlu/roi_align_mlu.cpp
@ -45,7 +45,7 @@ void ROIAlignForwardMLUKernelLauncher(Tensor input, Tensor rois, Tensor output,
              input.dim(), "D");
  TORCH_CHECK(rois.dim() == 2, "rois should be a 2d tensor, got ", rois.dim(),
              "D");
-  TORCH_CHECK(pool_mode == 1, "pool_mode only suppurts 'avg' currently");
+  TORCH_CHECK(pool_mode == 1, "pool_mode only supports 'avg' currently");

  auto memory_format =
      torch_mlu::cnnl::ops::get_channels_last_memory_format(input.dim());
@ -121,7 +121,7 @@ void ROIAlignBackwardMLUKernelLauncher(Tensor grad, Tensor rois,
              "D");
  TORCH_CHECK(rois.dim() == 2, "rois should be a 2d tensor, got ", rois.dim(),
              "D");
-  TORCH_CHECK(pool_mode == 1, "pool_mode only suppurts 'avg' currently");
+  TORCH_CHECK(pool_mode == 1, "pool_mode only supports 'avg' currently");

  int batch_size = grad_input.size(0);
  int channels = grad_input.size(1);
--- a/mmcv/ops/rotated_feature_align.py
+++ b/mmcv/ops/rotated_feature_align.py
@ -66,11 +66,11 @@ class RotatedFeatureAlignFunction(Function):
    def backward(ctx: Any, grad_output: torch.Tensor) -> tuple:
        """
        Args:
-            grad_output (torch.Tensor): The gradiant of output features
+            grad_output (torch.Tensor): The gradient of output features
                with shape [N,C,H,W].

        Returns:
-            torch.Tensor: The gradiant of input features with shape [N,C,H,W].
+            torch.Tensor: The gradient of input features with shape [N,C,H,W].
        """
        best_rbboxes = ctx.saved_tensors[0]
        points = ctx.points
--- a/mmcv/video/io.py
+++ b/mmcv/video/io.py
@ -41,7 +41,7 @@ class Cache:
 class VideoReader:
    """Video class with similar usage to a list object.

-    This video warpper class provides convenient apis to access frames.
+    This video wrapper class provides convenient apis to access frames.
    There exists an issue of OpenCV's VideoCapture class that jumping to a
    certain frame may be inaccurate. It is fixed in this class by checking
    the position after jumping each time.
--- a/setup.cfg
+++ b/setup.cfg
@ -23,4 +23,4 @@ default_section = THIRDPARTY
 # than "BA"
 [codespell]
 quiet-level = 3
-ignore-words-list = inout,hist,ba
+ignore-words-list = inout,hist,ba,ro,inh