linting

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

TODO.md

@@ -65,13 +65,13 @@ Main ToDo list can be found at [GitHub projects](https://github.com/users/vladma
 
 ## Code TODO
 
-> pnpm lint | grep W0511 | awk -F'TODO ' '{print "- "$NF}' | sed 's/ (fixme)//g' | sort
+> npm run todo
  
 - control: support scripts via api
 - fc: autodetect distilled based on model
 - fc: autodetect tensor format based on model
 - hypertile: vae breaks when using non-standard sizes
-- install: enable ROCm for windows when available
+- install: switch to pytorch source when it becomes available
 - loader: load receipe
 - loader: save receipe
 - lora: add other quantization types
@@ -81,5 +81,6 @@ Main ToDo list can be found at [GitHub projects](https://github.com/users/vladma
 - model load: implement model in-memory caching
 - modernui: monkey-patch for missing tabs.select event
 - modules/lora/lora_extract.py:188:9: W0511: TODO: lora: support pre-quantized flux
+- modules/modular_guiders.py:65:58: W0511: TODO: guiders
 - processing: remove duplicate mask params
 - resize image: enable full VAE mode for resize-latent

modules/control/util.py

@@ -55,7 +55,7 @@ def nms(x, t, s):
     for f in [f1, f2, f3, f4]:
         np.putmask(y, cv2.dilate(x, kernel=f) == x, x)
     z = np.zeros_like(y, dtype=np.uint8)
-    z[y > t] = 255
+    z[y > t] = 255 # pylint: disable=unsupported-assignment-operation
     return z
 
 def min_max_norm(x):

modules/face/reswapper_utils.py

@@ -1,9 +1,8 @@
+# https://github.com/somanchiu/ReSwapper/blob/GAN/Image.py
 import cv2
 import numpy as np
 
 
-### https://github.com/somanchiu/ReSwapper/blob/GAN/Image.py
-
 input_std = 255.0
 input_mean = 0.0
 
@@ -38,7 +37,7 @@ def blend_swapped_image(swapped_face, target_image, M):
     warped_face = cv2.warpAffine(swapped_face, M_inv, (w, h),borderValue=0.0)
     img_white = np.full((swapped_face.shape[0], swapped_face.shape[1]), 255, dtype=np.float32)
     img_mask = cv2.warpAffine(img_white, M_inv, (w, h), borderValue=0.0)
-    img_mask[img_mask > 20] = 255
+    img_mask[img_mask > 20] = 255 # pylint: disable=unsupported-assignment-operation
     mask_h_inds, mask_w_inds = np.where(img_mask == 255)
     if len(mask_h_inds) > 0 and len(mask_w_inds) > 0:  # safety check
         mask_h = np.max(mask_h_inds) - np.min(mask_h_inds)