同步

log.py

@@ -1 +0,0 @@
-import logger

main.py

@@ -1,16 +0,0 @@
-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)

src/main.py

@@ -4,12 +4,14 @@ number_input = 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()
+number_list: list = number_input.split()
 
 try:
     numbers = [float(num_str) for num_str in number_list]
     print(numbers)
-    uncertain_processor = Uncertainly(data=numbers, type_B_uncertain=type_B_uncertain,param_tp=param_tp)
+    uncertain_processor = Uncertainly(
+        data=numbers, type_B_uncertain=type_B_uncertain, param_tp=param_tp
+    )
     uncertain_processor.output_std()
 
 except Exception as e:

src/uncertainly.py

@@ -1,5 +1,6 @@
 from math import sqrt
 
+
 class Uncertainly:
     __slots__ = [
         "average",
@@ -8,20 +9,22 @@ class Uncertainly:
         "type_A_uncertain",
         "type_B_uncertain",
         "total_uncertain",
-        "data"
+        "data",
     ]
 
-    def __init__(self, data: tuple, type_B_uncertain: float, param_tp: float):
+    def __init__(self, data: list, type_B_uncertain: float, param_tp: float):
         self.data = data
-        self.average:float = sum(self.data) / len(self.data)
+        self.average: float = sum(self.data) / len(self.data)
         self.length = len(self.data)
 
         # def cal_standard_deviation(self):
-        data_cut = [(datum-self.average) ** 2 for datum in self.data]
+        data_cut = [(datum - self.average) ** 2 for datum in self.data]
 
-        self.standard_deviation:float = sqrt(sum(data_cut) / (self.length - 1))
+        self.standard_deviation: float = sqrt(sum(data_cut) / (self.length - 1))
 
-        self.type_A_uncertain:float = param_tp * self.standard_deviation / sqrt(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
@@ -30,7 +33,12 @@ class Uncertainly:
         print(f"平均为：{self.data}/{self.length}={self.average}\n")
         # print(f"{self.average}\n")
         print(f"标准差：{round(self.standard_deviation,4)}")
-        print(f"3S区间：[{round(self.average - 3 * self.standard_deviation,4)},{round(self.average +3 * self.standard_deviation,4)}]")
+        print(
-        print(f"B类不确定度确认：{self.type_B_uncertain}\n")
+            f"3S区间: [{round(self.average - 3 * self.standard_deviation,4)},{round(self.average +3 * self.standard_deviation,4)}]"
-        print(f"总不确定度：2 * ✓{round(self.type_A_uncertain,4)}^2 + {round(self.type_B_uncertain,4)}^2={round(self.total_uncertain,4)}")
+        )
+        print(f"A类不确定度确认: {round(self.type_A_uncertain,4)}")
+        print(f"B类不确定度确认: {self.type_B_uncertain}\n")
+        print(
+            f"总不确定度: 2 * ✓{round(self.type_A_uncertain,4)}^2 + {round(self.type_B_uncertain,4)}^2={round(self.total_uncertain,4)}"
+        )
         print(f"结果表达式为：{round(self.average,4)}+-{round(self.total_uncertain,4)}")