correction fautes :)

game/strategy.py

@@ -264,7 +264,7 @@ class MCTSStrategy(Strategy):
         #
         # Thus, the two players in the rollout phase are AlphaBeta players with a fixed depth
         # Note: the original idea was found by me, but after further research I found [2] that
-        # describe a clever way of doing this (way clever than what I wanted to do first).
+        # describes a clever way of doing this (way more clever than what I wanted to do first).
         # The points that they talk about are the use of AlphaBeta algorithms not only in the
         # playout phase, but also in the selection, expansion and backpropagation phases
 
@@ -284,7 +284,7 @@ class MCTSStrategy(Strategy):
 
             # Before using the Minimax strategy to choose the move,
             # we check that the branching factor isn't too high to
-            # prevent the computing time from being to long
+            # prevent the computing time from being too long
             if len(legals) <= 5:
                 strategy: StrategyAlphaBeta = self.players[current_player - 1]