=== Instruction 1 ===
Is Correct: False
Syntax Pass: False
Code Function: This code defines a sequence of actions for a robot to perform a long-horizon task involving a drawer and a dice. The robot starts from a ready position, moves to the drawer handle, picks the handle, pulls the drawer open, moves to a dice, picks up the dice, moves to a designated place inside the open drawer, places the dice there, pushes the drawer closed, and finally returns to the ready position. Each step is executed in order, with error handling to print messages if any step fails. The main function runs this entire sequence when the script is executed.
Similarity: {'ok': True, 'reason': 'The described code sequence correctly achieves the task of placing one dice into a drawer by picking up the handle, opening the drawer, picking up the dice, placing it inside the drawer, and closing the drawer.'}
Differences: 1. **Handle Manipulation**:  
   - *CODE_FUNC* includes explicit steps for picking up the handle and using it to open the drawer.  
   - *TASK* does not mention the need to manipulate the handle or open the drawer; it only instructs to place the dice in the drawer.

2. **Drawer State Management**:  
   - *CODE_FUNC* explicitly opens the drawer before placing the dice and closes it afterward.  
   - *TASK* does not specify whether the drawer should be opened or closed before or after the action.

3. **Return to Ready Position**:  
   - *CODE_FUNC* includes a final step where the robot returns to the ready position after completing the task.  
   - *TASK* does not mention returning to any specific position after placing the dice.

4. **Error Handling**:  
   - *CODE_FUNC* includes error handling for each step, printing messages if a step fails.  
   - *TASK* does not mention or imply any error handling.

5. **Step Granularity**:  
   - *CODE_FUNC* breaks down the task into fine-grained, ordered steps (move, pick, pull, move, pick, move, place, push, move).  
   - *TASK* is a high-level instruction without specifying the sequence or granularity of actions.

6. **Object Handling**:  
   - *CODE_FUNC* involves handling both the dice and the handle as objects to be picked and manipulated.  
   - *TASK* only refers to the dice.

7. **Assumed Initial State**:  
   - *CODE_FUNC* assumes the drawer is closed and the handle is on the floor, requiring explicit actions to open the drawer.  
   - *TASK* does not specify or assume the initial state of the drawer or handle.

8. **Explicit Location Moves**:  
   - *CODE_FUNC* includes explicit robot movements between locations (ready-pose, handle, dice, drawer).  
   - *TASK* does not mention any movement or locations.

9. **Task Completion Criteria**:  
   - *CODE_FUNC* considers the task complete after the robot returns to the ready position and the drawer is closed.  
   - *TASK* considers the task complete once the dice is in the drawer.

10. **Inclusion of Non-Essential Actions**:  
    - *CODE_FUNC* includes actions (e.g., closing the drawer, returning to ready-pose) that are not strictly required by the *TASK* instruction.

11. **Multi-Object Drawer State**:  
    - *CODE_FUNC* may implicitly handle the drawer's state as partially filled or full, depending on the number of objects, matching the domain's predicates.  
    - *TASK* does not mention the drawer's fill state.

---

**Summary**:  
*CODE_FUNC* operationalizes the high-level *TASK* by decomposing it into a detailed, ordered sequence of actions, including necessary pre- and post-conditions (handle manipulation, drawer state, robot pose), error handling, and explicit movement, none of which are specified in the *TASK* instruction.

Refined Code Generated:
-------------------
"""Module to place one dice into a drawer using RobotController."""
from Object_list import Object
from skill_mapping import RobotController

def long_horizon_task2_oracle_seq():
    """Place one dice into a drawer."""
    robot = RobotController()

    # Move to dice1 location
    robot.execute_movement(Object["dice1"], mode=7)

    # Pick the dice (approach along z-axis)
    robot.execute_movement(Object["dice1"], mode=1, axis=2)

    # Move to drawer_top_place_left location
    robot.execute_movement(Object["drawer_top_place_left"], mode=7)

    # Place the dice into the drawer (approach along z-axis)
    robot.execute_movement(Object["drawer_top_place_left"], mode=2, axis=2)

def main():
    """Main function to execute the task."""
    long_horizon_task2_oracle_seq()

if __name__ == "__main__":
    main()
-------------------

=== Instruction 2 ===
Is Correct: False
Syntax Pass: False
Code Function: This code defines a sequence of actions for a robot to perform a long-horizon manipulation task. The robot starts from a ready position, moves to a handle, picks it up, and then moves to a drawer handle. It pulls the drawer open, moves to a dice object, picks up the dice, and carries it to a designated place inside the open drawer. The robot then places the dice into the drawer and finally pushes the drawer closed. Each step involves moving to specific locations and performing actions like picking, placing, pulling, or pushing, with error handling to catch and report any issues during execution.
Similarity: {'ok': True, 'reason': 'The described code functionally achieves the task by picking up the dice and placing it into the drawer, handling all necessary steps such as opening the drawer and moving between locations.'}
Differences: 1. **Explicit Mention of Error Handling**: CODE_FUNC mentions error handling ("with error handling to catch and report any issues during execution"), while TASK does not specify anything about error handling or reporting failures.

2. **Level of Detail**: CODE_FUNC describes the sequence of actions at a higher, more narrative level (e.g., "moves to a handle, picks it up, and then moves to a drawer handle"), whereas TASK is a concise instruction ("Put a single dice into the drawer").

3. **Assumption of Drawer State**: CODE_FUNC explicitly includes the step of pulling the drawer open and pushing it closed, implying the robot must handle the drawer's state. TASK does not specify whether the drawer is open or closed, only the end goal.

4. **Final State of Drawer**: CODE_FUNC specifies that the robot "finally pushes the drawer closed," indicating the drawer should end up closed. TASK does not specify the desired final state of the drawer after the dice is placed inside.

5. **Object Handling Sequence**: CODE_FUNC details the order of object interactions (handle, then dice), while TASK only specifies the end result (dice in drawer), not the method or order.

6. **Location Specificity**: CODE_FUNC mentions moving to "specific locations" and "designated place inside the open drawer," while TASK does not specify where in the drawer the dice should be placed.

7. **Inclusion of Handle Manipulation**: CODE_FUNC includes picking up and using the handle to open the drawer, which is not mentioned in TASK.

8. **Robot Starting Position**: CODE_FUNC states the robot "starts from a ready position," which is not specified in TASK.

9. **Narrative vs. Imperative**: CODE_FUNC is a descriptive narrative of the process, while TASK is an imperative instruction.

10. **Plurality/Specificity of Dice**: TASK says "a single dice," while CODE_FUNC refers to "the dice object," but both refer to a single item.

11. **Mention of Trash**: CODE_FUNC does not mention the presence of trash in the drawer, while the observation in TASK includes it (though the instruction does not).

12. **Generalization**: CODE_FUNC generalizes the task as a "long-horizon manipulation task," while TASK is specific to putting a dice in a drawer.

13. **No Mention of Bin**: CODE_FUNC does not mention the bin, while the domain includes actions for placing objects in a bin (though not required by TASK).

14. **No Mention of Ready-Pose Return**: CODE_FUNC does not mention returning to the ready-pose at the end, while the domain includes such an action (though not required by TASK).

15. **No Mention of Robot State Preconditions**: CODE_FUNC does not mention preconditions like "robot-free" or "hand-empty," which are implicit in the domain and necessary for the actions.

16. **No Mention of Conditional Effects**: CODE_FUNC does not mention conditional effects (e.g., updating drawer-full/partially-filled/empty), which are present in the domain.

17. **No Mention of Handle Placement After Use**: CODE_FUNC does not specify what happens to the handle after pulling the drawer open (e.g., whether it is dropped or placed somewhere), while the domain specifies the robot releases the handle.

18. **No Mention of Multiple Drawers**: CODE_FUNC refers to "the drawer," while the domain supports multiple drawers, but this is not a difference with TASK as only one drawer is involved.

19. **No Mention of Robot's Hand State**: CODE_FUNC does not mention the robot's hand state (empty/holding), which is tracked in the domain.

20. **No Mention of Need-Ready Flag**: CODE_FUNC does not mention the "need-ready" predicate, which is used in the domain to control action sequencing.

**Summary**: The main semantic differences are that CODE_FUNC is a narrative, high-level description including error handling, explicit drawer manipulation, and a specified final state (drawer closed), while TASK is a simple imperative instruction with no mention of error handling, drawer state, or method.

Refined Code Generated:
-------------------
from Object_list import Object
from skill_mapping import RobotController

def long_horizon_task2_oracle_seq():
    """
    Executes the sequence to put a single dice into the drawer.
    """
    robot = RobotController()

    # Step 1: Move from ready-pose to handle_top location
    robot.execute_movement(Object["handle_top"], mode=7)  # execute_go

    # Step 2: Pick the handle (handle_top) from the floor (approach along x-axis)
    robot.execute_movement(Object["handle_top"], mode=1, axis=0)  # execute_pick

    # Step 3: Move from handle_top location to drawer_top handle location
    robot.execute_movement(Object["drawer_top_handle"], mode=7)  # execute_go

    # Step 4: Pull the drawer open using the handle (approach along x-axis)
    robot.execute_movement(Object["drawer_top_handle"], mode=4, axis=0, distance=0.1)  # execute_pull

    # Step 5: Move from drawer_top handle location to dice1 location
    robot.execute_movement(Object["dice1"], mode=7)  # execute_go

    # Step 6: Pick the dice1 from the floor (approach along z-axis)
    robot.execute_movement(Object["dice1"], mode=1, axis=2)  # execute_pick

    # Step 7: Move from dice1 location to drawer_top place location (use left place)
    robot.execute_movement(Object["drawer_top_place_left"], mode=7)  # execute_go

    # Step 8: Place the dice1 into the drawer (approach along z-axis)
    robot.execute_movement(Object["drawer_top_place_left"], mode=2, axis=2)  # execute_place

    # Step 9: Push the drawer closed (approach along x-axis)
    robot.execute_movement(Object["drawer_top_handle"], mode=3, axis=0, distance=0.1)  # execute_push

def main():
    """
    Main function to execute the long horizon task.
    """
    long_horizon_task2_oracle_seq()

if __name__ == "__main__":
    main()
-------------------

=== Instruction 3 ===
Is Correct: False
Syntax Pass: False
Code Function: This code defines a sequence of actions for a robot to perform a long-horizon manipulation task. The robot starts from a ready position and moves to the floor near a drawer handle. It picks up the drawer handle, moves to the drawer area, and pulls the drawer open. Next, the robot moves to a dice object on the floor, picks it up, and carries it to the drawer area. Finally, the robot places the dice into the open drawer. The process is executed step by step using a robot controller, and any errors during execution are caught and printed.
Similarity: {'ok': True, 'reason': 'The described code functionally achieves the task by picking up the die, opening the drawer, and placing the die inside the drawer as required by the domain and initial state.'}
Differences: 1. **Explicitness of Error Handling**: CODE_FUNC mentions that errors during execution are caught and printed, implying the presence of error handling in the implementation. TASK (PDDL) does not specify error handling or recovery.

2. **Controller/Execution Layer**: CODE_FUNC refers to a "robot controller" that executes the actions, suggesting a concrete implementation layer. TASK is a symbolic, declarative specification of actions and their effects, not tied to a specific controller.

3. **Level of Abstraction**: TASK describes the problem and domain at a symbolic planning level (preconditions, effects, predicates), while CODE_FUNC describes a concrete, step-by-step execution sequence.

4. **Action Sequencing**: CODE_FUNC specifies a particular order of actions (move, pick handle, move, pull, move, pick dice, move, place dice), while TASK only provides the domain and initial state, leaving the sequence to be determined by a planner.

5. **Observation/State Representation**: TASK includes an explicit initial state (observation) and object locations, while CODE_FUNC assumes the robot starts from a ready position and describes the sequence from there.

6. **Goal Specification**: TASK's goal is implicit in the instruction ("Insert one die into a drawer") and would be formally specified in a PDDL goal (not shown), while CODE_FUNC describes the steps to achieve this goal but does not formalize the goal condition.

7. **Object References**: CODE_FUNC refers to "the floor near a drawer handle" and "a dice object on the floor" in natural language, while TASK uses explicit object names and types (dice1, handle_top, etc.).

8. **Handling of Multiple Objects**: TASK's domain and problem allow for multiple objects and drawers, while CODE_FUNC describes a single instance (one die, one drawer).

9. **Drawer State Management**: TASK includes predicates for drawer states (open, closed, locked, unlocked, full, empty, partially filled), while CODE_FUNC only describes opening the drawer as needed for the task.

10. **No Mention of Bin**: CODE_FUNC does not mention the bin or trash object, while TASK's observation includes a bin and a trash object in the drawer.

11. **No Mention of Ready Pose**: CODE_FUNC mentions starting from a "ready position," which corresponds to the "ready-pose" in TASK, but does not specify returning to it or using it as a goal.

12. **No Mention of 'need-ready' Predicate**: TASK uses a 'need-ready' predicate to manage when the robot should return to a ready pose, which is not mentioned in CODE_FUNC.

13. **No Mention of Conditional Effects**: TASK's actions include conditional effects (e.g., updating drawer-full/partially-filled/empty), which are not described in CODE_FUNC.

14. **No Mention of Robot State Predicates**: TASK uses predicates like (robot-free), (hand-empty), (holding ?o), etc., to track the robot's state, while CODE_FUNC describes actions in terms of what the robot does, not its internal state.

15. **No Mention of Locations**: TASK explicitly models locations (floor, drawer-area, ready-pose), while CODE_FUNC refers to them in natural language but does not formalize them.

16. **No Mention of Action Parameters**: TASK actions have explicit parameters and preconditions/effects, while CODE_FUNC describes actions at a higher level.

17. **No Mention of Action Types**: TASK distinguishes between picking objects, picking handles, placing in drawer/bin, etc., while CODE_FUNC describes picking and placing generically.

18. **No Mention of Handle Properties**: TASK models handles as objects with properties and relations (is-handle, handle-of), while CODE_FUNC just refers to "the drawer handle."

19. **No Mention of Robot Movement**: TASK includes explicit movement actions (execute_go, execute_go_ready), while CODE_FUNC describes moving in natural language.

20. **No Mention of No-op Actions**: TASK includes no-op actions (execute_sweep, execute_gripper), which are not mentioned in CODE_FUNC.

21. **No Mention of Preconditions/Effects**: TASK specifies preconditions and effects for each action, while CODE_FUNC does not.

22. **No Mention of Typing**: TASK uses PDDL typing (object, drawer, location), while CODE_FUNC does not.

23. **No Mention of Requirements**: TASK specifies PDDL requirements (:strips, :typing, :conditional-effects), which are not present in CODE_FUNC.

24. **No Mention of Planning**: TASK is designed for automated planning, while CODE_FUNC describes a fixed sequence.

25. **No Mention of Generalization**: TASK's domain is general and reusable for similar tasks, while CODE_FUNC is specific to this instance.

26. **No Mention of Return Condition**: TASK includes a 'need-ready' predicate as a return condition, which is not present in CODE_FUNC.

27. **No Mention of Handle Pickup Restrictions**: TASK distinguishes between picking up handles and other objects, while CODE_FUNC does not specify this distinction.

28. **No Mention of Drawer Capacity**: TASK models drawer capacity (full, empty, partially filled), while CODE_FUNC does not.

29. **No Mention of Trash Object**: TASK includes a trash object in the drawer, which is not mentioned in CODE_FUNC.

30. **No Mention of Synchronization**: TASK models robot state to prevent conflicting actions, while CODE_FUNC assumes sequential execution.

31. **No Mention of Action Failure**: CODE_FUNC mentions error catching, while TASK does not model action failure.

32. **No Mention of Action Execution**: CODE_FUNC describes actual execution, while TASK is a specification for planning.

33. **No Mention of Action Implementation**: CODE_FUNC implies implementation details (controller, error handling), while TASK is implementation-agnostic.

34. **No Mention of Action Granularity**: TASK actions are atomic at the planning level, while CODE_FUNC may group multiple planning actions into a single step.

35. **No Mention of Action Repetition**: TASK allows for repeated actions if needed, while CODE_FUNC describes a single sequence.

36. **No Mention of Action Alternatives**: TASK allows for alternative plans, while CODE_FUNC describes only one way.

37. **No Mention of Action Preconditions Satisfaction**: TASK requires preconditions to be satisfied, while CODE_FUNC assumes the sequence will work as described.

38. **No Mention of Action Effects Verification**: TASK models effects, while CODE_FUNC does not verify effects after each action.

39. **No Mention of Action Parameterization**: TASK actions are parameterized, while CODE_FUNC uses fixed objects.

40. **No Mention of Action Abstraction**: TASK is abstract, CODE_FUNC is concrete.

41. **No Mention of Action Modularity**: TASK is modular (actions can be reused), CODE_FUNC is monolithic.

42. **No Mention of Action Reusability**: TASK actions are reusable, CODE_FUNC is not.

43. **No Mention of Action Generality**: TASK is general, CODE_FUNC is specific.

44. **No Mention of Action Flexibility**: TASK allows for flexible plans, CODE_FUNC is rigid.

45. **No Mention of Action Optimization**: TASK allows for plan optimization, CODE_FUNC does not.

46. **No Mention of Action Cost**: TASK can model action cost, CODE_FUNC does not.

47. **No Mention of Action Duration**: TASK can model duration, CODE_FUNC does not.

48. **No Mention of Action Parallelism**: TASK can allow parallel actions, CODE_FUNC is sequential.

49. **No Mention of Action Synchronization**: TASK models synchronization, CODE_FUNC does not.

50. **No Mention of Action Interruption**: CODE_FUNC can handle errors, TASK does not model interruption.

---

**Summary**:  
The semantic differences are extensive: TASK is a formal, symbolic, and general planning specification, while CODE_FUNC is a concrete, sequential, implementation-level description with error handling and execution details.

Refined Code Generated:
-------------------
from Object_list import Object
from skill_mapping import RobotController

def long_horizon_task2_oracle_seq():
    """
    Insert one die into a drawer.
    """
    robot = RobotController()

    try:
        # Move from ready-pose to handle location (drawer-area)
        robot.execute_movement(Object["drawer_top_handle"], mode=7)
        # Pick handle_top from floor (axis=0 for handle)
        robot.execute_movement(Object["drawer_top_handle"], mode=1, axis=0)
        # Move to drawer-area (handle at drawer)
        robot.execute_movement(Object["drawer_top_handle"], mode=7)
        # Pull drawer open using handle_top at drawer-area
        robot.execute_movement(Object["drawer_top_handle"], mode=4, axis=0, distance=0.1)
        # Move to dice1 on floor
        robot.execute_movement(Object["dice1"], mode=7)
        # Pick dice1 from floor (axis=2 for general object)
        robot.execute_movement(Object["dice1"], mode=1, axis=2)
        # Move to drawer-area (place location)
        robot.execute_movement(Object["drawer_top_place_left"], mode=7)
        # Place dice1 into drawer_top at drawer-area (axis=2 for general object)
        robot.execute_movement(Object["drawer_top_place_left"], mode=2, axis=2)
    except Exception as error:
        print(f"Error during task execution: {error}")

def main():
    """
    Main function to execute the long horizon task.
    """
    long_horizon_task2_oracle_seq()

if __name__ == "__main__":
    main()
-------------------

=== Instruction 4 ===
Is Correct: False
Syntax Pass: False
Code Function: This code defines a sequence of actions for a robot to perform a specific task involving a drawer and a dice object. The robot first moves to the drawer handle, grasps it, and pulls the drawer open. Then, the robot moves to the location of a dice, picks it up, moves to a designated place on top of the drawer, and places the dice there. Each step is executed in order, with error handling to print messages if any step fails. The main function runs this sequence when the script is executed.
Similarity: {'ok': False, 'reason': 'The code places the dice on top of the drawer, not inside it as required by the task.'}
Differences: 1. **Placement Location**:  
   - **TASK**: The instruction is to "store a dice inside the drawer," which, according to the PDDL domain, means the dice should end up with the predicate `(in-drawer dice1 drawer_top)`, i.e., inside the drawer.
   - **CODE_FUNC**: The code places the dice "on top of the drawer" (i.e., on the surface, not inside), which would not satisfy the predicate `(in-drawer dice1 drawer_top)`.

2. **Interpretation of Success**:  
   - **TASK**: Success is defined as the dice being inside the drawer.
   - **CODE_FUNC**: Success is defined as the dice being placed on top of the drawer, which is a different physical location and does not fulfill the original task.

3. **Action Sequence**:  
   - **TASK**: Requires opening the drawer, picking up the dice, and placing it inside the open drawer.
   - **CODE_FUNC**: Opens the drawer, picks up the dice, but places it on top of the drawer, not inside.

4. **State Change**:  
   - **TASK**: The state of the world after completion should have `(in-drawer dice1 drawer_top)` true.
   - **CODE_FUNC**: The state after completion would not have `(in-drawer dice1 drawer_top)` true, but rather the dice would be at a location corresponding to "on top of the drawer," which is not modeled in the PDDL predicates.

5. **Predicate Coverage**:  
   - **TASK**: Utilizes the `execute_place_to_drawer` action.
   - **CODE_FUNC**: Would require an action like `execute_place_on_top_of_drawer`, which does not exist in the PDDL domain.

6. **Domain Consistency**:  
   - **TASK**: Fully consistent with the PDDL domain and its predicates.
   - **CODE_FUNC**: Describes an action (placing on top) that is not represented in the domain's predicates or actions.

7. **Goal Satisfaction**:  
   - **TASK**: Satisfies the goal as per the instruction and domain.
   - **CODE_FUNC**: Does not satisfy the goal as per the instruction and domain.

---

**Summary**:  
The semantic difference is that CODE_FUNC places the dice on top of the drawer, not inside it, and thus does not fulfill the TASK as defined by the instruction and the PDDL domain.

Refined Code Generated:
-------------------
"""Module to store a dice inside the drawer using robot skills."""
from Object_list import Object
from skill_mapping import RobotController

def long_horizon_task2_oracle_seq():
    """Sequence to store dice1 inside drawer_top."""
    robot = RobotController()

    # Step 1: Move to handle_top location
    try:
        robot.execute_movement(Object["drawer_top_handle"], mode=7)
    except Exception as error:
        print(f"Error in Step 1 (go to handle_top_location): {error}")

    # Step 2: Pick handle_top at handle_top_location (axis=0 for handle)
    try:
        robot.execute_movement(Object["drawer_top_handle"], mode=1, axis=0)
    except Exception as error:
        print(f"Error in Step 2 (pick handle_top): {error}")

    # Step 3: Pull drawer_top using handle_top at handle_top_location
    try:
        robot.execute_movement(Object["drawer_top_handle"], mode=4, axis=0, distance=0.1)
    except Exception as error:
        print(f"Error in Step 3 (pull drawer_top): {error}")

    # Step 4: Move to dice1 location
    try:
        robot.execute_movement(Object["dice1"], mode=7)
    except Exception as error:
        print(f"Error in Step 4 (go to dice1_location): {error}")

    # Step 5: Pick dice1 at dice1_location (axis=2 for general object)
    try:
        robot.execute_movement(Object["dice1"], mode=1, axis=2)
    except Exception as error:
        print(f"Error in Step 5 (pick dice1): {error}")

    # Step 6: Move to drawer_top (open) for placing inside
    try:
        robot.execute_movement(Object["drawer_top"], mode=7)
    except Exception as error:
        print(f"Error in Step 6 (go to drawer_top for placing inside): {error}")

    # Step 7: Place dice1 inside drawer_top (axis=2 for general object)
    try:
        robot.execute_movement(Object["drawer_top"], mode=3, axis=2)
    except Exception as error:
        print(f"Error in Step 7 (place dice1 inside drawer): {error}")

def main():
    """Main function to execute the long horizon task."""
    long_horizon_task2_oracle_seq()

if __name__ == "__main__":
    main()
-------------------

=== Instruction 5 ===
Is Correct: False
Syntax Pass: False
Code Function: This code defines a sequence of actions for a robot to perform a long-horizon manipulation task. The robot starts from a ready position and moves to the floor. It then picks up the top handle of a drawer from the floor, moves to the drawer area, and pulls the drawer open using the handle. Next, the robot moves to the floor, picks up a dice object, returns to the drawer area, and places the dice into the open drawer. The process is executed step by step using a robot controller, and any errors during execution are caught and printed.
Similarity: {'ok': True, 'reason': 'The described code functionally achieves the task by picking up the handle, opening the drawer, picking up the dice, and placing it into the open drawer, which matches the instruction and is supported by the domain and problem definitions.'}
Differences: 1. **Explicitness of Sequence**  
   - CODE_FUNC describes the *explicit* sequence of actions the robot must take (move, pick handle, open drawer, move, pick dice, move, place dice), while TASK only gives the high-level instruction ("Drop one dice into any open drawer") without specifying the steps.

2. **Object and Drawer Selection**  
   - TASK is generic: "one dice" and "any open drawer". It does not specify which dice or which drawer.  
   - CODE_FUNC is specific: it refers to "dice1" and "drawer_top" (the only available objects in the observation).

3. **Drawer State Handling**  
   - TASK assumes the existence of an "open drawer" and does not mention opening it if closed.  
   - CODE_FUNC includes the necessary steps to open the drawer if it is closed (pick handle, pull to open).

4. **Handle Manipulation**  
   - TASK does not mention the need to manipulate a handle to open the drawer.  
   - CODE_FUNC explicitly includes picking up the handle and using it to open the drawer.

5. **Error Handling**  
   - CODE_FUNC mentions catching and printing errors during execution.  
   - TASK does not mention error handling.

6. **Robot Initial State**  
   - CODE_FUNC assumes the robot starts at a "ready position" and must move to the relevant locations.  
   - TASK does not specify the robot's initial state or location.

7. **Stepwise Execution**  
   - CODE_FUNC describes the process as "executed step by step using a robot controller".  
   - TASK does not mention stepwise execution or the use of a controller.

8. **Domain Knowledge**  
   - CODE_FUNC implicitly uses knowledge of the domain (e.g., that the handle must be picked up and used to open the drawer, and that the dice is on the floor).  
   - TASK does not reference or require such domain knowledge in its instruction.

9. **Assumption about Drawer Fullness**  
   - TASK says "any open drawer" without regard to whether the drawer is full or partially filled.  
   - CODE_FUNC, by following the domain logic, ensures the drawer is not full before placing the dice.

10. **Implicit vs. Explicit Preconditions**  
    - TASK is agnostic to preconditions (e.g., whether the robot's hand is empty, whether the robot is at the correct location).  
    - CODE_FUNC ensures all preconditions are met before each action (e.g., robot moves to the correct location, hand is empty before picking up objects, etc.).

11. **Generalization vs. Instantiation**  
    - TASK is general and could apply to any dice and any open drawer.  
    - CODE_FUNC is instantiated for the specific objects and drawer in the provided observation.

12. **"Drop" vs. "Place"**  
    - TASK uses the verb "drop", which could imply a less precise action.  
    - CODE_FUNC uses "place", which is more controlled and precise, as per the domain actions.

13. **No Mention of Bin**  
    - TASK does not mention the bin at all.  
    - CODE_FUNC ignores the bin as well, but the domain includes actions for placing objects in the bin.

14. **No Mention of Trash**  
    - TASK does not mention the presence of trash in the drawer.  
    - CODE_FUNC does not interact with the trash, but the domain and observation include it.

15. **No Mention of Returning to Ready Pose**  
    - TASK does not specify what the robot should do after dropping the dice.  
    - CODE_FUNC does not mention returning to ready pose, but the domain includes such an action.

---

**Summary:**  
TASK is a high-level, generic instruction, while CODE_FUNC is a detailed, stepwise, domain-specific instantiation of that instruction, including all necessary sub-steps, error handling, and precondition management.

Refined Code Generated:
-------------------
from Object_list import Object
from skill_mapping import RobotController

def long_horizon_task2_oracle_seq():
    """Drop one dice into any open drawer."""
    robot = RobotController()
    try:
        # Move from ready-pose to floor
        robot.execute_movement(Object["drawer_top_handle"], mode=6)
        robot.execute_movement(pose0=None, pose1=None, mode=7)
        robot.execute_movement(Object["drawer_top_handle"], mode=7)

        # Pick handle_top from floor (axis=0 for handle)
        robot.execute_movement(Object["drawer_top_handle"], mode=1, axis=0)

        # Move from floor to drawer-area
        robot.execute_movement(Object["drawer_top_handle"], mode=7)

        # Pull drawer open using handle (axis=0 for handle, distance=0.1 for pull)
        robot.execute_movement(Object["drawer_top_handle"], mode=4, axis=0, distance=0.1)

        # Move from drawer-area to floor
        robot.execute_movement(Object["dice1"], mode=7)

        # Pick dice1 from floor (axis=2 for general object)
        robot.execute_movement(Object["dice1"], mode=1, axis=2)

        # Move from floor to drawer-area
        robot.execute_movement(Object["drawer_top_place_left"], mode=7)

        # Place dice1 into drawer_top at drawer-area (axis=2 for general object)
        robot.execute_movement(Object["drawer_top_place_left"], mode=2, axis=2)

    except Exception as error:
        print(f"Error during task execution: {error}")

def main():
    """Main entry point for dropping one dice into any open drawer."""
    long_horizon_task2_oracle_seq()

if __name__ == "__main__":
    main()
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