backend: fix lint issues

service/device_detect.py

@@ -1,5 +1,5 @@
 import torch
-import intel_extension_for_pytorch as ipex
+import intel_extension_for_pytorch as ipex # noqa: F401
 
 # filter out non-Arc devices
 supported_ids = []

service/inpaint_utils.py

@@ -164,11 +164,11 @@ def __transparent_back(img: Image.Image):
         :return: 返回替换白色后的透明图
         """
         img = img.convert("RGBA")
-        L, H = img.size
+        W, H = img.size
         color_0 = (255, 255, 255, 255)  # 要替换的颜色
         for h in range(H):
-            for l in range(L):
-                dot = (l, h)
+            for w in range(W):
+                dot = (w, h)
                 color_1 = img.getpixel(dot)
                 if color_1 == color_0:
                     color_1 = color_1[:-1] + (0,)

service/llm_biz.py

@@ -234,7 +234,6 @@ def chat(
         is_first = True
         first_token_time = 0
         last_token_time = 0
-        total_time = 0
         with torch.inference_mode():
             all_stream_output = ""
             for stream_output in generate(

service/model_downloader.py

@@ -86,7 +86,7 @@ def __init__(self, hf_token=None) -> None:
     def is_gated(self, repo_id: str):
         try:
             info = model_info(repo_id)
-            return info.gated != False
+            return info.gated
         except Exception as ex:
             print(f"Error while trying to determine whether {repo_id} is gated: {ex}")
             return False

service/outpaint_utils.py

@@ -85,7 +85,7 @@ def outpaint_canny_gradient(
     left_pad: int,
     right_pad: int,
 ):
-    if type(image) == Image.Image:
+    if isinstance(image, Image.Image):
         img_ndata = np.array(image)
     else:
         img_ndata = image
@@ -119,7 +119,7 @@ def outpaint_canny_blur(
     left_pad: int,
     right_pad: int,
 ):
-    if type(image) == Image.Image:
+    if isinstance(image, Image.Image):
         img_ndata = np.array(image)
     else:
         img_ndata = image

service/real_esrgan_patch.py

@@ -1,4 +1,3 @@
-import os
 import sys
 
 def patch_import(file_path):

service/utils.py

@@ -165,7 +165,6 @@ def get_ESRGAN_size():
 
 
 def get_support_graphics(env_type: str):
-    import re
     import model_config
 
     device_count = torch.xpu.device_count()

service/web_api.py

@@ -27,15 +27,15 @@
     # Set the environment variable to filter devices
     os.environ["ONEAPI_DEVICE_SELECTOR"] = f"*:{supported_ids}"
     print(f"Set ONEAPI_DEVICE_SELECTOR={os.environ['ONEAPI_DEVICE_SELECTOR']}")
-except:
+except: # noqa: E722
     pass
 
 # Credit to https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14186
 # Related issues:
 # + https://github.com/XPixelGroup/BasicSR/issues/649
 # + https://github.com/AUTOMATIC1111/stable-diffusion-webui/issues/13985
 try:
-    import torchvision.transforms.functional_tensor
+    import torchvision.transforms.functional_tensor # noqa: F401
 except ImportError:
     try:
         import torchvision.transforms.functional as functional

service/xpu_hijacks.py

@@ -224,7 +224,7 @@ def torch_empty(*args, device=None, **kwargs):
 original_torch_randn = torch.randn
 @wraps(torch.randn)
 def torch_randn(*args, device=None, dtype=None, **kwargs):
-    if dtype == bytes:
+    if dtype == bytes: # noqa: E721
         dtype = None
     if check_device(device):
         return original_torch_randn(*args, device=return_xpu(device), **kwargs)