remake

main.py

@@ -0,0 +1,16 @@
+from uncertainly import Uncertainly
+import logger
+
+number_input: str = input("Data input:")
+type_B_uncertain: float = float(input("type_B_uncertain: "))
+param_tp: float = float(input("tp input: "))
+
+number_list:tuple = number_input.split
+
+try:
+    numbers = [float(num_str) for num_str in number_list]
+    uncertain_processor = Uncertainly(numbersm, type_B_uncertain=type_B_uncertain,param_tp=param_tp)
+    uncertain_processor.output_std
+
+except Exception as e:
+    logger.exception(e)

uncertainly.py

@@ -0,0 +1,27 @@
+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}")