AttributeError: ‘function’ object has no attribute 'coefficients’

非常抱歉，我之前的代码有误，`'function' object has no attribute 'coefficients'` 错误提示是因为在 `generate_polynomial` 函数中没有定义 `coefficients` 属性。以下是修正后的代码：

class Polynomial:
    def __init__(self, coefficients):
        self.coefficients = coefficients

    def __call__(self, x):
        res = 0
        for i, c in enumerate(self.coefficients):
            res += c * x ** i
        return res

def distributed_polynomial_calculation(polynomial, node_count, x):
    """
    分布式多项式计算
    """
    sub_polynomials = np.array_split(polynomial.coefficients, node_count)
    results = []
    for sub_polynomial in sub_polynomials:
        sub_p = Polynomial(sub_polynomial)
        results.append(sub_p(x))
    return sum(results)

# 生成多项式
coefficients = np.random.rand(100000)
polynomial = Polynomial(coefficients)

# 测试单节点计算时间和内存
start_time = time.time()
res = polynomial(0.1)
end_time = time.time()
print(f"单节点计算时间：{end_time - start_time}")
print(f"单节点内存消耗：{polynomial.coefficients.nbytes}")

# 测试分布式多项式计算时间和内存
node_counts = [2, 4, 8]
x = 0.1
for node_count in node_counts:
    start_time = time.time()
    res = distributed_polynomial_calculation(polynomial, node_count, x)
    end_time = time.time()
    print(f"{node_count} 个节点计算时间：{end_time - start_time}")
    print(f"{node_count} 个节点内存消耗：{polynomial.coefficients.nbytes / node_count}")

在这个修正后的代码中，我们定义了一个多项式类 `Polynomial`，并将 `coefficients` 属性存储在类的实例变量中。然后，我们使用 `Polynomial` 类来生成多项式，并在 `distributed_polynomial_calculation` 函数中使用 `Polynomial` 类来计算子多项式的结果。这样就可以避免 `'function' object has no attribute 'coefficients'` 的错误。