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backend/simulate.py

@@ -21,8 +21,6 @@ SIMULATION_CARDS_PATH = os.path.join(os.path.dirname(__file__), "simulation_card
 SIMULATION_CARD_COUNT = 1000
 
 
-# ==================== Card pool ====================
-
 def _card_to_dict(card: Card) -> dict:
   return {
     "name": card.name,
@@ -69,8 +67,6 @@ def get_simulation_cards() -> list[Card]:
   return cards
 
 
-# ==================== Single game ====================
-
 PLAYER1_ID = "p1"
 PLAYER2_ID = "p2"
 MAX_TURNS = 300  # safety cap to prevent infinite games
@@ -176,7 +172,6 @@ def simulate_game(
   return None
 
 
-# ==================== Process-pool worker ====================
 # These must be module-level so they are picklable.
 
 _worker_cards: list[Card] = []
@@ -186,7 +181,6 @@ def _init_worker(cards: list[Card]) -> None:
   _worker_cards = cards
 
 def _run_game_sync(args: tuple) -> str | None:
-  """Synchronous entry point for a worker process."""
   d1, p1_name, d2, p2_name = args
   return simulate_game(
     _worker_cards,
@@ -195,8 +189,6 @@ def _run_game_sync(args: tuple) -> str | None:
   )
 
 
-# ==================== Tournament ====================
-
 def _all_players(difficulties: list[int] | None = None) -> list[tuple[AIPersonality, int]]:
   """Return all (personality, difficulty) combinations for the given difficulties (default 1-10)."""
   if difficulties is None:
@@ -232,7 +224,6 @@ async def run_tournament(
   players = _all_players(difficulties)
   n = len(players)
 
-  # Build the flat list of (i, j, args) for every game
   indexed_args: list[tuple[int, int, tuple]] = []
   for i in range(n):
     p1_personality, p1_difficulty = players[i]