(Solved): (This is Local Search in Python But there are some errors in it) Find the errors in it and correct i ...

(This is Local Search in Python But there are some errors in it) Find the errors in it and correct it

\# Step 3: determine the highest-valued neighboring state best_neighbor = neighbors[np.argmax(neighbor_values)] best_neighbor_value = objective_function(best_neighbor) \# Step 4: compare the highest value among neighboring states to the current value \# if the latter is higher, we have found a peak $$?$$ return the current state \# the former is higher, assign current state to be the best neighbor state if best_neighbor_value > objective_function(current_value): current_value = objective_function(current_state) else: if print_iters: print('iteration: \{\} , current_state: \{\} , current_value: \{\} '.format(i, current_state, current_value)) i += 1 break [9] hill climbing solution = hill climbing(objective function) print('Hill climbing solution is:', hill_climbing_solution) Unboundlocalerror Traceback (most recent call last) $$?1$$ hill_climbing_solution $$=$$ hill_climbing(objective_function) 2 print('Hill climbing solution is:', hill_climbing_solution) ?ipython-input-8-9f83109df234> in hill_climbing(objective_function, initial_state, step_size, print_iters) 30 \# if the latter is higher, we have found a peak $$?$$ return the current state 31 if the former is higher, assign current state to be the best neighbor state if best_neighbor_value > objective_function(current_value): current_value $$=$$ objective_function(current_value) else: UnboundLocalerror: local variable 'current_value' referenced before assignment SEARCH STACK OVERFLOW