update nvidia/test_supervised_fine_tuning.py to simulate an available non-llama model

tests/unit/providers/nvidia/test_supervised_fine_tuning.py

@@ -7,7 +7,7 @@
 import os
 import unittest
 import warnings
-from unittest.mock import patch
+from unittest.mock import AsyncMock, patch
 
 import pytest
 
@@ -342,6 +342,10 @@ class TestNvidiaPostTraining(unittest.TestCase):
             provider_resource_id=model_id,
             model_type=model_type,
         )
+
+        # simulate a NIM where default/job-1234 is an available model
+        with patch.object(self.inference_adapter, "query_available_models", new_callable=AsyncMock) as mock_query:
+            mock_query.return_value = [model_id]
             result = self.run_async(self.inference_adapter.register_model(model))
         assert result == model
         assert len(self.inference_adapter.alias_to_provider_id_map) > 1