fixed black version

fastchat/llm_judge/qa_browser.py

@@ -405,12 +405,12 @@ def build_demo():
     model_answers = load_model_answers(answer_dir)
 
     # Load model judgments
-    model_judgments_normal_single = model_judgments_math_single = (
-        load_single_model_judgments(single_model_judgment_file)
-    )
-    model_judgments_normal_pairwise = model_judgments_math_pairwise = (
-        load_pairwise_model_judgments(pairwise_model_judgment_file)
-    )
+    model_judgments_normal_single = (
+        model_judgments_math_single
+    ) = load_single_model_judgments(single_model_judgment_file)
+    model_judgments_normal_pairwise = (
+        model_judgments_math_pairwise
+    ) = load_pairwise_model_judgments(pairwise_model_judgment_file)
 
     demo = build_demo()
     demo.queue(

fastchat/model/model_adapter.py

@@ -239,9 +239,9 @@ def load_model(
         if num_gpus != 1:
             kwargs["device_map"] = "auto"
             if max_gpu_memory is None:
-                kwargs["device_map"] = (
-                    "sequential"  # This is important for not the same VRAM sizes
-                )
+                kwargs[
+                    "device_map"
+                ] = "sequential"  # This is important for not the same VRAM sizes
                 available_gpu_memory = get_gpu_memory(num_gpus)
                 kwargs["max_memory"] = {
                     i: str(int(available_gpu_memory[i] * 0.85)) + "GiB"

fastchat/serve/monitor/monitor.py

@@ -369,7 +369,9 @@ def highlight_rank_max(s):
             (
                 "color: green; font-weight: bold"
                 if v > 0
-                else "color: red; font-weight: bold" if v < 0 else ""
+                else "color: red; font-weight: bold"
+                if v < 0
+                else ""
             )
             for v in s
         ]