Initialize evaluation protocols and examples; Implement one kind of eval; Update requirements

main.py

@@ -15,8 +15,10 @@ def human_agent():
         path_to_vm=r"""C:\Users\tianbaox\Documents\Virtual Machines\Win10\Win10.vmx""",
         #  path_to_vm="/home/yuri/vmware/Ubuntu 64-bit/Ubuntu 64-bit.vmx",
         action_space="computer_13",
-        snapshot_path="base_setup2",
-        # config=example["config"],
+        snapshot_path="base_setup3",
+        instruction=example["instruction"],
+        config=example["config"],
+        evaluator=example["evaluator"]
     )
 
     # reset the environment to certain snapshot
@@ -31,43 +33,7 @@ def human_agent():
                 "y": 1057
             }
         },
-        {"action_type": "CLICK", "parameters": {"button": "right", "num_clicks": 1}},
-        {
-            "action_type": "MOVE_TO",
-            "parameters": {
-                "x": 754,
-                "y": 1057
-            }
-        },
-        {
-            "action_type": "MOVE_TO",
-            "parameters": {
-                "x": 754,
-                "y": 1057
-            }
-        },
-        {
-            "action_type": "MOVE_TO",
-            "parameters": {
-                "x": 754,
-                "y": 1057
-            }
-        },
-        {
-            "action_type": "MOVE_TO",
-            "parameters": {
-                "x": 754,
-                "y": 1057
-            }
-        },
-        {
-            "action_type": "MOVE_TO",
-            "parameters": {
-                "x": 754,
-                "y": 1057
-            }
-        }
-
+        {"action_type": "CLICK", "parameters": {"button": "right", "num_clicks": 1}}
     ]
 
     for i in range(len(trajectory)):
@@ -90,6 +56,9 @@ def human_agent():
             print("The episode is done.")
             break
 
+    result = env.evaluate()
+    print("Result:", result)
+
     env.close()
     print("Environment closed.")