将以下代码转成python:num = num + xishu * (-num * noise_fuzhi + 2.0 * num * noise_fuzhi * rand() / 32767);

在Python中，给定的数学表达式`num = num + xishu * (-num * noise_fuzhi + 2.0 * num * noise_fuzhi * rand() / 32767)`可以转换为函数形式来实现，假设`noise_fuzhi`和`rand()`是已定义的变量。这里假设`noise_fuzhi`代表噪声模糊度，`rand()`是随机数生成器（通常在NumPy中用`numpy.random.rand()`）。下面是一个可能的实现：

import numpy as np

# 假设 xishu 和 noise_fuzhi 是已知的常数或变量
xishu = ...  # 某一系数
noise_fuzhi = ...

def update_num(num):
    random_term = 2.0 * num * noise_fuzhi * np.random.rand() / 32767
    new_value = num + xishu * (-num * noise_fuzhi + random_term)
    return new_value

# 示例调用
initial_num = ...
for _ in range(num_iter):
    initial_num = update_num(initial_num)

# 结果输出
title = "Optimized Value"
print('-'*50 + "\n{}\ny = {:.5f}".format(title, initial_num, -xishu * noise_fuzhi))  # 注意这里y的计算可能不是原始表达式的直接对应，因为random_term会改变结果