如何使用Python函数共同模拟fmu？

<?xml version="1.0" encoding="UTF-8"?>
<fmiModelDescription
    fmiVersion="2.0"
    modelName="SimpleModel"
    modelVersion="1.0"
    author="Author Name"
    generationTool="Generation Tool"
    generationDateAndTime="2023-04-01T12:00:00Z"
    variableNamingConvention="structured">
    <ModelVariables>
        <ScalarVariable
            name="input"
            variability="tunable"
            causality="input"
            variability="parameter"
            type="Real"/>
        <ScalarVariable
            name="output"
            variability="output"
            causality="local"
            type="Real"/>
    </ModelVariables>
</fmiModelDescription>

class SimpleModel:
    def __init__(self):
        self.input = 0.0
        self.output = 0.0

    def update(self, new_input):
        self.input = new_input
        self.output = self.input * 2  # 简单的模型逻辑：输出是输入的两倍

model = SimpleModel()

import model
from fmpy import *

# 加载模型描述文件
model_description = read_model_description('modelDescription.xml')

# 创建FMU实例
fmu = create_fmu(model_description, 'model.py')

# 设置仿真参数
start_time = 0.0
stop_time = 10.0
step_size = 0.1

# 运行仿真
simulate_fmu(fmu, start_time, stop_time, step_size)

# 获取仿真结果
results = get_simulation_results(fmu)

# 打印结果
for variable in results:
    print(f"{variable.name}: {results[variable]}")