Update app.py

app.py

@@ -1,3 +1,5 @@
+#!/usr/bin/env python3
+
 # Copyright 2023 Dmitry Ustalov
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -86,7 +88,7 @@ def counting(wins: npt.NDArray[np.int64], ties: npt.NDArray[np.int64],
              seed: int = 0, tolerance: float = 10e-6, limit: int = 100) -> npt.NDArray[np.float64]:
     M = wins + .5 * ties
 
-    return M.sum(axis=0)
+    return cast(npt.NDArray[np.float64], M.sum(axis=1))
 
 
 def eigen(wins: npt.NDArray[np.int64], ties: npt.NDArray[np.int64],
@@ -190,6 +192,9 @@ def handler(file: IO[bytes], algorithm: str, filtered: bool, truncated: bool, se
 
     df.dropna(axis='rows', inplace=True)
 
+    df.loc[df['winner'] == 'right', ['left', 'right']] = df.loc[df['winner'] == 'right', ['right', 'left']].values
+    df.loc[df['winner'] == 'right', 'winner'] = 'left'
+
     if filtered:
         largest = largest_strongly_connected_component(df)
 
@@ -199,7 +204,7 @@ def handler(file: IO[bytes], algorithm: str, filtered: bool, truncated: bool, se
     else:
         index = pd.Index(np.unique(df[['left', 'right']].values), name='item')
 
-    df_wins = pd.pivot_table(df[df['winner'].isin(['left', 'right'])],
+    df_wins = pd.pivot_table(df[df['winner'] != 'tie'],
                              index='left', columns='right', values='winner',
                              aggfunc='count', fill_value=0)
     df_wins = df_wins.reindex(labels=index, columns=index, fill_value=0, copy=False)
@@ -286,11 +291,11 @@ def main() -> None:
             )
         ],
         examples=[
-            ['food.csv', 'Counting', False],
-            ['food.csv', 'Bradley-Terry (1952)', False],
-            ['food.csv', 'Eigenvector (1986)', False],
-            ['food.csv', 'PageRank (1998)', False],
-            ['food.csv', 'Newman (2023)', False]
+            ['food.csv', 'Counting', False, False],
+            ['food.csv', 'Bradley-Terry (1952)', False, False],
+            ['food.csv', 'Eigenvector (1986)', False, False],
+            ['food.csv', 'PageRank (1998)', False, False],
+            ['food.csv', 'Newman (2023)', False, False]
         ],
         title='Pair2Rank: Turn Your Side-by-Side Comparisons into Ranking!',
         description='''