fix moe error

vllm/model_executor/layers/fused_moe/fused_moe.py

@@ -4,7 +4,7 @@
 import functools
 import json
 import os
-from typing import Any, Callable, Optional, List, Optional, Tuple
+from typing import Any, Callable, Optional, List, Optional, Tuple, Dict
 
 import torch
 
@@ -502,7 +502,7 @@ def invoke_fused_moe_kernel(A: torch.Tensor,
                             use_int8_w8a16: bool,
                             use_int4_w4a16: bool,
                             per_channel_quant: bool,
-                            block_shape: Optional[List[int],] = None,
+                            block_shape: Optional[List[int]] = None,
                             use_nn_moe: Optional[bool]=False) -> None:
     assert topk_weights is not None or not mul_routed_weight
     assert topk_weights is None or topk_weights.stride(1) == 1
@@ -679,7 +679,7 @@ def get_moe_configs(
     block_n: Optional[int] = None,
     block_k: Optional[int] = None,
     use_nn_moe: Optional[bool] = False,
-) -> Optional[dict[int, Any]]:
+) -> Optional[Dict[int, Any]]:
     """
     Return optimized configurations for the fused MoE kernel.