Revert "[Core] Performance: Use list[np.ndarray] instead of list[list… (#28773)

tests/v1/spec_decode/test_eagle.py

@@ -3,7 +3,6 @@
 
 from unittest import mock
 
-import numpy as np
 import pytest
 import torch
 
@@ -113,9 +112,7 @@ def test_prepare_next_token_ids():
     sampled_token_ids_tensor = torch.tensor(
         sampled_token_ids, dtype=torch.int32, device=device
     )
-    sampled_token_ids_cpu = [
-        np.array([i for i in seq if i != -1]) for seq in sampled_token_ids
-    ]
+    sampled_token_ids_cpu = [[i for i in seq if i != -1] for seq in sampled_token_ids]
 
     expected_next_token_ids_cpu = [1, 4, 30, 40]
     expected_next_token_ids_tensor = torch.tensor(