class Uncertainly:
    __slots__ = [
        "average"
    ]

    def __init__(self, data: tuple, type_B_uncertain: float, param_tp: float):
        self.average:float = sum(data) / len(data)
        self.length = len(data)
        
    # def cal_standard_deviation(self):
        data_cut = [datum-self.average for datum in self.input_data]

        self.standard_deviation:float = sum(data_cut) / self.length

        self.type_A_uncertain:float = param_tp * self.standard_deviation / sqrt(self.length)

        self.total_uncertain = 2 * sqrt(self.type_A_uncertain**2 + type_B_uncertain**2)
        self.type_B_uncertain = type_B_uncertain

    def output_std(self):
        print(f"平均为：{data}/{self.length}={self.average}\n")
        # print(f"{self.average}\n")
        print(f"标准差：{self.standard_deviation}")
        print(f"3S区间：[{self.average - 3 * self.standard_deviation},{self.average +3 * self.standard_deviation}]")
        print(f"B类不确定度确认：{self.type_B_uncertain}\n")
        print(f"总不确定度：2 * ✓{self.type_A_uncertain}^2 + {self.type_B_uncertain}^2={self.total_uncertain}")
        print(f"结果表达式为：{self.average}+-{self.total_uncertain}")