This commit is contained in:
pythagodzilla 2025-09-18 19:06:50 +08:00
commit 25d76fd510
2 changed files with 43 additions and 0 deletions

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main.py Normal file
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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)

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uncertainly.py Normal file
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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}")