Return best solution or the same if there's none
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@ -15,11 +15,16 @@ def replace_worst_element(previous, data):
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def get_random_solution(previous, data):
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solution = replace_worst_element(previous, data)
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while solution["distance"].sum() <= previous["distance"].sum():
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if solution.equals(previous):
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break
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solution = replace_worst_element(previous=solution, data=data)
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candidates = []
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candidates.append(previous)
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solution, worst_index = replace_worst_element(previous, data)
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previous_worst_distance = previous["distance"].loc[worst_index]
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while candidates[-1].distance.loc[worst_index] <= previous_worst_distance:
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last_solution = candidates[-1]
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solution, _ = replace_worst_element(previous=solution, data=data)
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if solution.equals(last_solution):
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return last_solution
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candidates.append(solution)
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return solution
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