linting

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

.pylintrc

@@ -76,7 +76,6 @@ persistent=yes
 py-version=3.9
 recursive=no
 source-roots=
-suggestion-mode=yes
 unsafe-load-any-extension=no
 
 [BASIC]

launch.py

@@ -133,7 +133,7 @@ def run_pip(pkg, desc=None): # compatbility function
         desc = pkg
     for f in forbidden:
         if f in pkg:
-            debug_install('Blocked package installation: package={f}')
+            debug_install(f'Blocked package installation: package={f}')
             return True
     index_url_line = f' --index-url {index_url}' if index_url != '' else ''
     return run(f'"{sys.executable}" -m pip {pkg} --prefer-binary{index_url_line}', desc=f"Installing {desc}", errdesc=f"Couldn't install {desc}")

modules/modelloader.py

@@ -306,7 +306,7 @@ def download_url_to_file(url: str, dst: str):
             continue
         break
     else:
-        shared.log.error('Error downloading: url={url} no usable temporary filename found')
+        shared.log.error(f'Error downloading: url={url} no usable temporary filename found')
         return
     try:
         with Progress(TextColumn('[cyan]{task.description}'), BarColumn(), TaskProgressColumn(), TimeRemainingColumn(), TimeElapsedColumn(), console=shared.console) as progress:

modules/processing_callbacks.py

@@ -1,6 +1,5 @@
 import typing
 import os
-import sys
 import time
 import torch
 import numpy as np

modules/safe.py

@@ -21,8 +21,8 @@ def encode(*args):
 class RestrictedUnpickler(pickle.Unpickler):
     extra_handler = None
 
-    def persistent_load(self, saved_id):
-        assert saved_id[0] == 'storage'
+    def persistent_load(self, pid):
+        assert pid[0] == 'storage'
         try:
             return TypedStorage(_internal=True)
         except TypeError:

modules/sdnq/quantizer.py

@@ -1,6 +1,6 @@
 # pylint: disable=redefined-builtin,no-member,protected-access
 
-from typing import Any, Dict, List, Tuple, Optional, Union
+from typing import Dict, List, Tuple, Optional, Union
 from dataclasses import dataclass
 from enum import Enum
 
@@ -463,7 +463,7 @@ class SDNQQuantizer(DiffusersQuantizer, HfQuantizer):
         *args, **kwargs, # pylint: disable=unused-argument
     ):
         if self.pre_quantized:
-            layer, tensor_name = get_module_from_name(model, param_name)
+            layer, _tensor_name = get_module_from_name(model, param_name)
             if hasattr(layer, "sdnq_dequantizer"):
                 return True
         elif param_name.endswith(".weight"):

modules/seedvr/src/__init__.py

@@ -8,4 +8,4 @@ current_dir = os.path.dirname(os.path.abspath(__file__))
 parent_dir = os.path.dirname(current_dir)
 if parent_dir not in sys.path:
     sys.path.insert(0, parent_dir)
-"""
+"""

modules/seedvr/src/models/video_vae_v3/modules/attn_video_vae.py

@@ -1288,7 +1288,7 @@ class VideoAutoencoderKL(diffusers.AutoencoderKL):
             result_rows.append(torch.cat(result_row, dim=4))
         dec = torch.cat(result_rows, dim=3)
         return dec
-    
+
     def forward(
         self, x: torch.FloatTensor, mode: Literal["encode", "decode", "all"] = "all", **kwargs
     ):

pipelines/model_stablecascade.py

@@ -162,10 +162,10 @@ def load_cascade_combined(checkpoint_info, diffusers_load_config):
 
 # Balanced offload hooks:
 class StableCascadeDecoderPipelineFixed(diffusers.StableCascadeDecoderPipeline):
-    def guidance_scale(self):
+    def guidance_scale(self): # pylint: disable=invalid-overridden-method
         return self._guidance_scale
 
-    def do_classifier_free_guidance(self):
+    def do_classifier_free_guidance(self): # pylint: disable=invalid-overridden-method
         return self._guidance_scale > 1
 
     @torch.no_grad()