前景理论价值函数

def solve(____):
    import math
    def value(____):
        if x >= ____:
            return x ** alpha
        else:
            return -lambda_loss * ((____) ** alpha)
    expected_value = sum(p * value(____) for p, x in zip(____))
    return {"____": outcomes, "____": probabilities, "____": round(____)}