remove ruff cache

src/gen/data/arena-hard-v0.1/model_answer/external/private/var/folders/ws/s9058_gn5cs181gs2_54lcvc0000gn/T/gradio/4a99fae57971a5f7e281df57ab8739fd979a9345/16.o1.csv

@@ -1,11 +0,0 @@
-Col1.Col2.Col3.Col4.Col5.Col6.Col7.Col8.Col9.Col10
-1.2.5.6.2.6.3.7.8.8
-10.10.10.7.8.3.8.9.4.8
-5.9.2.10.7.7.4.9.2.3
-4.8.2.9.8.7.6.6.9.4
-1.8.7.3.1.6.7.7.6.1
-9.9.6.2.1.5.5.2.5.5
-8.2.10.5.10.10.7.6.3.6
-6.1.8.3.3.4.7.7.8.5
-7.1.3.3.2.4.5.9.5.6
-4.1.4.4.6.1.2.6.9.2

src/leaderboard/build_leaderboard.py

@@ -19,7 +19,7 @@ def time_diff_wrapper(func):
         result = func(*args, **kwargs)
         end_time = time.time()
         diff = end_time - start_time
-        logging.info(f"Time taken for {func.__name__}: {diff} seconds")
+        logging.info("Time taken for %s: %s seconds", func.__name__, diff)
         return result
 
     return wrapper
@@ -45,33 +45,34 @@ def download_dataset(repo_id, local_dir, repo_type="dataset", max_attempts=3, ba
             return
         except Exception as e:
             wait_time = backoff_factor**attempt
-            logging.error(f"Error downloading {repo_id}: {e}, retrying in {wait_time}s")
+            logging.error("Error downloading %s: %s, retrying in %ss", repo_id, e, wait_time)
             time.sleep(wait_time)
             attempt += 1
-    logging.error(f"Failed to download {repo_id} after {max_attempts} attempts")
+    logging.error("Failed to download %s after %s attempts", repo_id, max_attempts)
 
 
 def build_leadearboard_df():
     """Initializes the application space, loading only necessary data."""
 
-    # download_dataset(QUEUE_REPO, EVAL_REQUESTS_PATH)
-    # download_dataset(DYNAMIC_INFO_REPO, DYNAMIC_INFO_PATH)
+    # download answers of different models that we trust
     download_dataset("Vikhrmodels/openbench-eval", EVAL_RESULTS_PATH)
     # print(subprocess.Popen('ls src'))
+
+    # copy the grusted to
     subprocess.run(
         [
             "rsync",
-            "-avzP",
+            "-azP",
             "--ignore-existing",
-            f"{EVAL_RESULTS_PATH}/external/*",
-            "src/gen/data/arena-hard-v0.1/model_answer/",
+            f"{EVAL_RESULTS_PATH}/internal/*.jsonl",
+            "src/gen/data/arena-hard-v0.1/model_answer/interla/*",
         ],
         check=False,
     )
     subprocess.run(
         [
             "rsync",
-            "-avzP",
+            "-azP",
             "--ignore-existing",
             f"{EVAL_RESULTS_PATH}/model_judgment/*",
             "src/gen/data/arena-hard-v0.1/model_judgement/",
@@ -80,5 +81,6 @@ def build_leadearboard_df():
     )
 
     # Retrieve the leaderboard DataFrame
-    leaderboard_df = pd.DataFrame.from_records(json.load(open("eval-results/evals/upd.json", "r")))
+    with open("eval-results/evals/upd.json", "r", encoding="utf-8") as eval_file:
+        leaderboard_df = pd.DataFrame.from_records(json.load(eval_file))
     return leaderboard_df.copy()