refactor: format result_dict for consistency across outcome functions

Author: scmisa

src/sc2_datasets/transforms/mmr_vs_result.py

@@ -29,7 +29,15 @@ def mmr_vs_result(sc2_replay: SC2ReplayData) -> Tuple[torch.Tensor, torch.Tensor
         dtype=torch.float,
     )
 
-    result_dict = {"Loss": 0, "Win": 1, "Victory": 1, "Defeat": 0, "Undecided": -1, "Draw": -1, "Tie": -1}
+    result_dict = {
+        "Loss": 0,
+        "Win": 1,
+        "Victory": 1,
+        "Defeat": 0,
+        "Undecided": -1,
+        "Draw": -1,
+        "Tie": -1,
+    }
 
     # Check if result is "Undecided", "Draw", or "Tie" and return None to skip this replay
     skip_results = ["Undecided", "Draw", "Tie"]

src/sc2_datasets/transforms/pytorch/economy_vs_outcome.py

@@ -59,7 +59,15 @@ def economy_average_vs_outcome(
     # Creating feature tensor:
     feature_tensor = torch.tensor(feature_list, dtype=torch.float32)
 
-    result_dict = {"Loss": 0, "Win": 1, "Victory": 1, "Defeat": 0, "Undecided": -1, "Draw": -1, "Tie": -1}
+    result_dict = {
+        "Loss": 0,
+        "Win": 1,
+        "Victory": 1,
+        "Defeat": 0,
+        "Undecided": -1,
+        "Draw": -1,
+        "Tie": -1,
+    }
 
     # Check if any player's result is "Undecided", "Draw", or "Tie" and return None to skip this replay
     skip_results = ["Undecided", "Draw", "Tie"]

src/sc2_datasets/transforms/utils.py

@@ -235,7 +235,15 @@ def select_outcome_1v1(sc2_replay: SC2ReplayData) -> Dict[str, int]:
 
     player_outcome = {"1": 0, "2": 0}
 
-    result_dict = {"Loss": 0, "Win": 1, "Victory": 1, "Defeat": 0, "Undecided": -1, "Draw": -1, "Tie": -1}
+    result_dict = {
+        "Loss": 0,
+        "Win": 1,
+        "Victory": 1,
+        "Defeat": 0,
+        "Undecided": -1,
+        "Draw": -1,
+        "Tie": -1,
+    }
 
     # Check if any player has an "Undecided", "Draw", or "Tie" result and return None to indicate skipping
     skip_results = ["Undecided", "Draw", "Tie"]