diff --git a/test/npu/test_jit_script.py b/test/npu/test_jit_script.py
index 1c96265eb9a8604ce132e4eaf30d43ef43bfb396..026ce43cbc9a90a3e9cdebc6ea90456c693e3259 100644
--- a/test/npu/test_jit_script.py
+++ b/test/npu/test_jit_script.py
@@ -86,6 +86,7 @@ class TestJitTrace(TestCase):
         output2 = script_model(x, r1, r2)
         self.assertRtolEqual(output1, output2)
 
-
+#test
 if __name__ == '__main__':
     run_tests()
+#test
\ No newline at end of file
diff --git a/torch_npu/onnx/wrapper_ops_combined.py b/torch_npu/onnx/wrapper_ops_combined.py
index aee88fa11b775b94bae5cb60fe73f3fc9f0e410e..9a844c69f3d49258d3005f7efff3adb5bb623741 100644
--- a/torch_npu/onnx/wrapper_ops_combined.py
+++ b/torch_npu/onnx/wrapper_ops_combined.py
@@ -1,11 +1,9 @@
-import torch
+
 
 import torch_npu
 from torch_npu.utils._error_code import ErrCode, pta_error
-
+import torch
 __all__ = []
-
-
 class _NPULinearOP(object):
 
     @staticmethod
@@ -14,9 +12,7 @@ class _NPULinearOP(object):
             return torch._C._nn.linear(input_, weight, bias)
         return torch.ops.npu.npu_linear(input_, weight, bias)
 
-
 class _NPUTransposeOP(object):
-
     @staticmethod
     def forward(self, perm, require_contiguous=True, out=None):
         if torch.onnx.is_in_onnx_export():
@@ -28,8 +24,6 @@ class _NPUTransposeOP(object):
         out = torch.ops.npu.npu_transpose(
             self, perm, require_contiguous)
         return out
-
-
 class _NPUBroadcastOP(object):
 
     @staticmethod
diff --git a/torch_npu/testing/testcase.py b/torch_npu/testing/testcase.py
index 487420f6b009dea07e42bf6691e725c67bf839e7..c739d0ae82c4941941751e8e417f53b1751bfede 100644
--- a/torch_npu/testing/testcase.py
+++ b/torch_npu/testing/testcase.py
@@ -522,3 +522,4 @@ class TestCase(expecttest.TestCase):
 
                 if baseline is None or runtime < baseline * 0.9:
                     PerfBaseline.set_baseline(methodId, runtime)
+# test
\ No newline at end of file