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inference.py

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+
+import time
+import random
+from openenv.core.env_client.client import EnvClient
+from models import CompilerOptAction, CompilerOptObservation
+
+def run_smoke_test():
+    # This script allows the Meta grader to verify your environment logic
+    print("--- Starting OpenEnv Inference Test ---")
+    
+    # Pointing to the local server for the automated check
+    client = EnvClient("http://localhost:8000", CompilerOptAction, CompilerOptObservation)
+    
+    print("Step 1: Resetting Environment...")
+    obs = client.reset(task_id=1)
+    print(f"Success! Initial Estimated Cost: {obs.estimated_cost}")
+    
+    print("\nStep 2: Applying 3 Random Optimization Passes...")
+    for i in range(3):
+        # Pick a random pass that hasn't been applied yet
+        available_passes = obs.passes_available
+        action_id = random.choice(available_passes)
+        
+        action = CompilerOptAction(pass_id=action_id)
+        obs = client.step(action)
+        
+        print(f"Applied Pass ID {action_id} | Reward: {obs.reward} | New Cost: {obs.estimated_cost}")
+        time.sleep(0.2)
+        
+    print("\n--- Inference Test Passed Successfully ---")
+
+if __name__ == "__main__":
+    run_smoke_test()