使用比较性能的函数进行测试

代码示例：

import time
import math

def quadratic_formula(a, b, c):
    # solve quadratic equation ax**2 + bx + c = 0
    x1 = (-b + math.sqrt(b**2 - 4*a*c)) / (2*a)
    x2 = (-b - math.sqrt(b**2 - 4*a*c)) / (2*a)
    return x1, x2

# test quadratic_formula function with various input values
iterations = 1000000
start_time = time.time()
for i in range(iterations):
    # test solver A
    quadratic_formula(1, 500000, 1)

solver_A_time = time.time() - start_time
print("Solver A time:", solver_A_time)

start_time = time.time()
for i in range(iterations):
    # test solver B
    quadratic_formula(1, 1, 1)

solver_B_time = time.time() - start_time
print("Solver B time:", solver_B_time)

if solver_A_time < solver_B_time:
    print("Solver A is faster!")
else:
    print("Solver B is faster!")

此代码通过测试给定参数的二次方程的求解时间来比较两个求解器的性能差异。根据测试结果，可以确定哪个求解器更快，以便在需要性能优化时进行选择。