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src/leaderboard.py

@@ -39,11 +39,11 @@ def create_leaderboard(validator_uid) -> gr.Dataframe:
                 submission.info.uid,
                 f"[{'/'.join(submission.info.repository.split('/')[-2:])}]({submission.info.repository})",
                 submission.rank + 1,
-                round(submission.score, 3),
-                f"{submission.metrics.generation_time:.3f}s",
-                f"{submission.average_similarity * 100:.3f}%",
-                f"{submission.metrics.size / 1024 ** 3:.3f}GB",
-                f"{submission.metrics.vram_used / 1024 ** 3:.3f}GB",
+                round(submission.score, 5),
+                f"{submission.metrics.generation_time:.4f}s",
+                f"{submission.average_similarity * 100:.4f}%",
+                f"{submission.metrics.size / 1024 ** 3:.4f}GB",
+                f"{submission.metrics.vram_used / 1024 ** 3:.4f}GB",
                 f"{submission.metrics.watts_used:.3f}W",
                 f"{submission.metrics.load_time:.3f}s",
                 f"[{submission.info.block}](https://taostats.io/block/{submission.info.block})",

src/wandb_data.py

@@ -9,11 +9,12 @@ import wandb.apis.public as wapi
 from substrateinterface import Keypair
 
 from chain_data import UIDS_BY_HOTKEY, VALIDATOR_IDENTITIES, sync_metagraph
-from src import TIMEZONE, Key, Uid
+from src import TIMEZONE, Key
 
 WANDB_RUN_PATH = os.environ["WANDB_RUN_PATH"]
 
 START_DATE = datetime(2024, 11, 29)
+OFFSET_DAYS = 0
 
 BLACKLIST_ENDPOINT = "https://edge-inputs.api.wombo.ai/blacklist"
 BLACKLISTED_COLDKEYS = set()
@@ -298,12 +299,13 @@ def get_current_runs() -> list[Run]:
     sync_metagraph()
     sync()
 
-    today = _get_contest_start()
+    contest_start = _get_contest_start() - timedelta(days=OFFSET_DAYS)
+    contest_end = contest_start + timedelta(days=1)
 
     current_runs: list[Run] = []
 
     for runs in RUNS.values():
         for run in runs:
-            if run.start_date >= today:
+            if contest_start <= run.start_date < contest_end:
                 current_runs.append(run)
     return current_runs