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def enqueue (self, state_dict): Items in the priority queue are dictionaries: - 'state': the current state of the puzzle - 'h': the heuristic value

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def enqueue (self, state_dict): " Items in the priority queue are dictionaries: - 'state': the current state of the puzzle - 'h': the heuristic value for this state - 'parent': a reference to the item containing the parent state - 'g': the number of moves to get from the initial state to this state, the "cost" of this state - 'f': the total estimated cost of this state, g(n) +h(n) For example, an item in the queue might look like this: {"state":[1,2,3,4,5,6,7,8,0], 'parent":[1,2,3,4,5,6,7,8,8], 'h':0, 'g':14, 'f':14} Please be careful to use these keys exactly so we can test your queue, and so that the pop() method will work correctly. TODO: complete this method to handle the case where a state is already present in the priority queue def enqueue (self, state_dict): " Items in the priority queue are dictionaries: - 'state': the current state of the puzzle - 'h': the heuristic value for this state - 'parent': a reference to the item containing the parent state - 'g': the number of moves to get from the initial state to this state, the "cost" of this state - 'f': the total estimated cost of this state, g(n) +h(n) For example, an item in the queue might look like this: {"state":[1,2,3,4,5,6,7,8,0], 'parent":[1,2,3,4,5,6,7,8,8], 'h':0, 'g':14, 'f':14} Please be careful to use these keys exactly so we can test your queue, and so that the pop() method will work correctly. TODO: complete this method to handle the case where a state is already present in the priority queue

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