Potential fix for code scanning alert no. 32379: Module is imported with 'import' and 'import from'

Co-authored-by: Copilot Autofix powered by AI <62310815+github-advanced-security[bot]@users.noreply.github.com>

Author: yuslepukhin

onnxruntime/test/testdata/test_evil_weights.py

@@ -1,5 +1,4 @@
 import onnx
-from onnx import TensorProto, helper
 
 
 def create_exp_model():
@@ -8,18 +7,18 @@ def create_exp_model():
     tensors = []
     outputs = []
 
-    input_ = helper.make_tensor_value_info("input", TensorProto.INT64, [None, None])
+    input_ = onnx.helper.make_tensor_value_info("input", onnx.TensorProto.INT64, [None, None])
     inputs.append(input_)
 
-    evil_tensor = helper.make_tensor(
+    evil_tensor = onnx.helper.make_tensor(
         name="evil_weights",
-        data_type=TensorProto.INT64,
+        data_type=onnx.TensorProto.INT64,
         # dims=[100, 100],
         dims=[10],
         vals=[],
     )
     tensors.append(evil_tensor)
-    evil_tensor.data_location = TensorProto.EXTERNAL
+    evil_tensor.data_location = onnx.TensorProto.EXTERNAL
     entry1 = evil_tensor.external_data.add()
     entry1.key = "location"
     entry1.value = "*/_ORT_MEM_ADDR_/*"
@@ -31,15 +30,15 @@ def create_exp_model():
     entry3.key = "length"
     entry3.value = "80"
 
-    tensors.append(helper.make_tensor(name="0x1", data_type=TensorProto.INT64, dims=[1], vals=[0x1]))
-    nodes.append(helper.make_node(op_type="Add", inputs=["evil_weights", "0x1"], outputs=["output"]))
+    tensors.append(onnx.helper.make_tensor(name="0x1", data_type=onnx.TensorProto.INT64, dims=[1], vals=[0x1]))
+    nodes.append(onnx.helper.make_node(op_type="Add", inputs=["evil_weights", "0x1"], outputs=["output"]))
 
-    outputs.append(helper.make_tensor_value_info("output", TensorProto.INT64, []))
+    outputs.append(onnx.helper.make_tensor_value_info("output", onnx.TensorProto.INT64, []))
 
-    graph = helper.make_graph(nodes, "test", inputs, outputs, tensors)
-    model = helper.make_model(
+    graph = onnx.helper.make_graph(nodes, "test", inputs, outputs, tensors)
+    model = onnx.helper.make_model(
         graph,
-        opset_imports=[helper.make_opsetid("", 18), helper.make_opsetid("ai.onnx.ml", 3)],
+        opset_imports=[onnx.helper.make_opsetid("", 18), onnx.helper.make_opsetid("ai.onnx.ml", 3)],
         ir_version=11,
     )