Spaces:
Running
on
CPU Upgrade
Running
on
CPU Upgrade
Update src/populate.py
Browse files- src/populate.py +1 -6
src/populate.py
CHANGED
@@ -14,17 +14,12 @@ def get_leaderboard_df(results_path: str, requests_path: str, cols: list, benchm
|
|
14 |
all_data_json = [v.to_dict() for v in raw_data]
|
15 |
|
16 |
df = pd.DataFrame.from_records(all_data_json)
|
17 |
-
print("\n1- num of elements in leaderboard is :", len(df))
|
18 |
df = df.sort_values(by=[AutoEvalColumn.average.name], ascending=False)
|
19 |
df = df[cols].round(decimals=2)
|
20 |
|
21 |
# filter out if any of the benchmarks have not been produced
|
22 |
df = df[has_no_nan_values(df, benchmark_cols)]
|
23 |
-
print("\
|
24 |
-
print(df['Model'])
|
25 |
-
print("\n")
|
26 |
-
|
27 |
-
print("\n2- num of elements in leaderboard is :", len(df))
|
28 |
|
29 |
return raw_data, df
|
30 |
|
|
|
14 |
all_data_json = [v.to_dict() for v in raw_data]
|
15 |
|
16 |
df = pd.DataFrame.from_records(all_data_json)
|
|
|
17 |
df = df.sort_values(by=[AutoEvalColumn.average.name], ascending=False)
|
18 |
df = df[cols].round(decimals=2)
|
19 |
|
20 |
# filter out if any of the benchmarks have not been produced
|
21 |
df = df[has_no_nan_values(df, benchmark_cols)]
|
22 |
+
print("\nsrc/populate.py/get_leaderboard_df() : num of elements in leaderboard is :", len(df))
|
|
|
|
|
|
|
|
|
23 |
|
24 |
return raw_data, df
|
25 |
|