Create a new ClassicMcts, which is split into two files

chesspp/mcts/classic_mcts_v2.py

@@ -0,0 +1,24 @@
+import chess
+from chesspp.i_strategy import IStrategy
+from chesspp.mcts.classic_mcts_node_v2 import ClassicMctsNodeV2
+
+
+class ClassicMctsV2:
+    def __init__(self, board: chess.Board, color: chess.Color, strategy: IStrategy):
+        self.board = board
+        self.color = color
+        self.strategy = strategy
+        self.root = ClassicMctsNodeV2(board, color, strategy)
+
+    def build_tree(self, samples: int = 1000):
+        """
+        Runs the MCTS with the given number of samples
+        :param samples: number of simulations
+        :return: best node containing the best move
+        """
+        for i in range(samples):
+            node = self.root._select_leaf()
+            score = node._rollout()
+            node._backpropagate(score)
+
+