unittest是Python内置的标准类库。它的API跟Java的JUnit、.net的NUnit，C++的CppUnit很相似。
通过继承unittest.TestCase来创建一个测试用例。
具体请参考文档。
举个例：
import unittest
def fun(x):
return x + 1
class MyTest(unittest.TestCase):
def test(self):
self.assertEqual(fun(3), 4)
Computer performance metrics (things to measure) include availability, response time, channel capacity, latency, completion time, service time, bandwidth, throughput, relative efficiency, scalability, performance per watt, compression ratio, instruction path length and speed up. CPU benchmarks are available.
Availability of a system is typically measured as a factor of its reliability - as reliability increases, so does availability (that is, less downtime). Availability of a system may also be increased by the strategy of focusing on increasing testability and maintainability and not on reliability. Improving maintainability is generally easier than reliability. Maintainability estimates (Repair rates) are also generally more accurate. However, because the uncertainties in the reliability estimates are in most cases very large, it is likely to dominate the availability (prediction uncertainty) problem, even while maintainability levels are very high.
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