lint formatting

Signed-off-by: Vladimir Mandic <mandic00@live.com>

.pre-commit-config.yaml

@@ -19,7 +19,7 @@ ci:
 repos:
 # Standard hooks
 - repo: https://github.com/pre-commit/pre-commit-hooks
-  rev: v4.4.0
+  rev: v5.0.0
   hooks:
   - id: check-added-large-files
   - id: check-case-conflict
@@ -27,7 +27,6 @@ repos:
   - id: check-symlinks
   - id: check-yaml
     args: ["--allow-multiple-documents"]
-  - id: debug-statements
   - id: end-of-file-fixer
   - id: mixed-line-ending
   - id: trailing-whitespace
@@ -36,31 +35,3 @@ repos:
                 .*\.md|
                 .github/ISSUE_TEMPLATE/.*\.yml
             )$
-
-- repo: https://github.com/charliermarsh/ruff-pre-commit
-  rev: 'v0.0.285'
-  hooks:
-    - id: ruff
-      args: [--fix, --exit-non-zero-on-fix]
-- repo: local
-  hooks:
-    - id: pylint
-      name: pylint
-      entry: pylint
-      language: system
-      types: [python]
-      args: []
-
-# Black, the code formatter, natively supports pre-commit
-# - repo: https://github.com/psf/black
-#   rev: 23.7.0
-#   hooks:
-#   - id: black
-#     exclude: ^(docs)
-
-# Changes tabs to spaces
-# - repo: https://github.com/Lucas-C/pre-commit-hooks
-#   rev: v1.5.3
-#   hooks:
-#   - id: remove-tabs
-#     exclude: ^(docs)

CHANGELOG.md

@@ -55,7 +55,7 @@
   - major refactoring of requirements and dependencies to unblock `numpy>=2.1.0`  
   - patch `insightface`  
   - stronger lint rules  
-    add separate `npm run lint`, `npm run todo`, `npm run test` macros  
+    add separate `npm run lint`, `npm run todo`, `npm run test`, `npm run format` macros  
 
 ## Update for 2025-06-30
 

modules/control/proc/leres/leres/Resnext_torch.py

@@ -234,4 +234,3 @@ def resnext101_32x8d(pretrained=True, **kwargs):
 
     model = ResNet(Bottleneck, [3, 4, 23, 3], **kwargs)
     return model
-

modules/control/proc/leres/leres/network_auxi.py

@@ -416,4 +416,3 @@ if __name__ == '__main__':
     inputs = torch.ones(4,3,128,128)
     out = net(inputs)
     print(out.size())
-

modules/control/proc/midas/api.py

@@ -165,4 +165,3 @@ class MiDaSInference(nn.Module):
     def forward(self, x):
         prediction = self.model(x)
         return prediction
-

modules/control/proc/midas/midas/blocks.py

@@ -339,4 +339,3 @@ class FeatureFusionBlock_custom(nn.Module):
         output = self.out_conv(output)
 
         return output
-

modules/control/proc/midas/midas/dpt_depth.py

@@ -106,4 +106,3 @@ class DPTDepthModel(DPT):
 
     def forward(self, x):
         return super().forward(x).squeeze(dim=1)
-

modules/control/proc/normalbae/nets/submodules/decoder.py

@@ -199,4 +199,3 @@ class Decoder(nn.Module):
         return [out_res8, out_res4, out_res2, out_res1], \
                [out_res8, samples_pred_res4, samples_pred_res2, samples_pred_res1], \
                [None, point_coords_res4, point_coords_res2, point_coords_res1]
-

modules/control/proc/normalbae/nets/submodules/efficientnet_repo/README.md

@@ -319,5 +319,3 @@ export now requires additional args mentioned in the export script (not needed i
 2. TF ported models with 'SAME' padding will have the padding fixed at export time to the resolution used for export. Even though dynamic padding is supported in opset >= 11, I can't get it working.
 3. ONNX optimize facility doesn't work reliably in PyTorch 1.6 / ONNX 1.7. Fortunately, the onnxruntime based inference is working very well now and includes on the fly optimization.
 3. ONNX / Caffe2 export/import frequently breaks with different PyTorch and ONNX version releases. Please check their respective issue trackers before filing issues here.
-
-

modules/control/proc/normalbae/nets/submodules/efficientnet_repo/geffnet/activations/__init__.py

@@ -133,5 +133,3 @@ def get_act_layer(name='relu'):
     if use_jit and name in _ACT_FN_JIT:  # jit scripted models should be okay for export/scripting
         return _ACT_LAYER_JIT[name]
     return _ACT_LAYER_DEFAULT[name]
-
-

modules/control/proc/normalbae/nets/submodules/efficientnet_repo/geffnet/activations/activations.py

@@ -98,5 +98,3 @@ class HardSigmoid(nn.Module):
 
     def forward(self, x):
         return hard_sigmoid(x, self.inplace)
-
-

modules/control/proc/normalbae/nets/submodules/efficientnet_repo/utils.py

@@ -49,4 +49,3 @@ def get_outdir(path, *paths, inc=False):
         outdir = outdir_inc
         os.makedirs(outdir)
     return outdir
-

modules/control/proc/segment_anything/build_sam.py

@@ -155,5 +155,3 @@ def _build_sam(
             state_dict = torch.load(f)
         sam.load_state_dict(state_dict)
     return sam
-
-

modules/control/proc/zoe/zoedepth/models/__init__.py

@@ -21,4 +21,3 @@
 # SOFTWARE.
 
 # File author: Shariq Farooq Bhat
-

modules/control/proc/zoe/zoedepth/models/base_models/__init__.py

@@ -21,4 +21,3 @@
 # SOFTWARE.
 
 # File author: Shariq Farooq Bhat
-

modules/control/proc/zoe/zoedepth/models/base_models/midas_repo/midas/blocks.py

@@ -438,4 +438,3 @@ class FeatureFusionBlock_custom(nn.Module):
         output = self.out_conv(output)
 
         return output
-

modules/control/proc/zoe/zoedepth/utils/__init__.py

@@ -21,4 +21,3 @@
 # SOFTWARE.
 
 # File author: Shariq Farooq Bhat
-

modules/shared.py

@@ -717,7 +717,7 @@ options_templates.update(options_section(('saving-paths', "Image Paths"), {
     "outdir_extras_samples": OptionInfo("outputs/extras", 'Folder for processed images', component_args=hide_dirs, folder=True),
     "outdir_save": OptionInfo("outputs/save", "Folder for manually saved images", component_args=hide_dirs, folder=True),
     "outdir_video": OptionInfo("outputs/video", "Folder for videos", component_args=hide_dirs, folder=True),
-    "outdir_init_images": OptionInfo("outputs/init-images", "Folder for init images", component_args=hide_dirs, folder=True),
+    "outdir_init_images": OptionInfo("outputs/inputs", "Folder for init images", component_args=hide_dirs, folder=True),
 
     "outdir_sep_grids": OptionInfo("<h2>Grids</h2>", "", gr.HTML),
     "outdir_grids": OptionInfo("", "Grids folder", component_args=hide_dirs, folder=True),

motd

@@ -1 +0,0 @@
- 

package.json

@@ -22,7 +22,8 @@
     "eslint": "eslint javascript/ extensions-builtin/sdnext-modernui/javascript/",
     "ruff": ". venv/bin/activate && ruff check",
     "pylint": ". venv/bin/activate && pylint *.py modules/ pipelines/ scripts/ extensions-builtin/ | grep -v '^*'",
-    "lint": "npm run eslint && npm run ruff && npm run pylint | grep -v TODO",
+    "format": ". venv/bin/activate && pre-commit run -a",
+    "lint": "npm run eslint && npm run format && npm run ruff && npm run pylint | grep -v TODO",
     "todo": "npm run pylint | grep W0511 | awk -F'TODO ' '{print \"- \"$NF}' | sed 's/ (fixme)//g' | sort",
     "test": ". venv/bin/activate; python launch.py --debug --test"
   },

repositories/codeformer/basicsr/utils/img_util.py

@@ -168,4 +168,3 @@ def crop_border(imgs, crop_border):
             return [v[crop_border:-crop_border, crop_border:-crop_border, ...] for v in imgs]
         else:
             return imgs[crop_border:-crop_border, crop_border:-crop_border, ...]
-    

requirements.txt

@@ -26,8 +26,6 @@ voluptuous
 yapf
 fasteners
 orjson
-ruff
-pylint
 sqlalchemy
 invisible-watermark
 pi-heif
@@ -70,6 +68,11 @@ scikit-image
 seam-carving
 sentencepiece
 
+# lint
+ruff
+pylint
+pre-commit
+
 # block
 torch!=2.5.0
 torchvision!=0.20.0

scripts/xadapter/pipeline_sd_xl_adapter_controlnet.py

@@ -1824,4 +1824,3 @@ class StableDiffusionXLAdapterControlnetPipeline(DiffusionPipeline, FromSingleFi
         init_latents = self.scheduler.add_noise(init_latents, noise, timestep)
 
         return init_latents
-

scripts/xadapter/pipeline_sd_xl_adapter_controlnet_img2img.py

@@ -1910,4 +1910,3 @@ class StableDiffusionXLAdapterControlnetI2IPipeline(DiffusionPipeline, FromSingl
         # image.save(f'./test_img/noisy_image_sd1_5_{int(timestep)}.jpg')
 
         return init_latents
-