pypete-python性能测试
pypete的Python项目详细描述
这个插件帮助用传统的nosetests方式编写性能测试。到 在命令中运行nosetests时使用--with-pypete参数 行。
插件运行测试number次，此实验重复repeat 时代。所以对于测量测试将运行times x repeat次。如果number 等于0，plugin计算最佳测试数，因此每个测试的时间 实验大于threshold。
我建议使用PrettyTable 以便更好地概述测试结果。您可以选择文件，其中 将以json格式存储。使用文件和prettytable可以看到 比较当前、最后、最佳和最差运行测试（最佳和最差 根据平均值）。
您可以在my Github访问所有源代码。
安装
pip install pypete
用法示例：
$ nosetests --with-pypete --pypete-prettytable --pypete-file pypete.json tests/tests.py
F..F..
======================================================================
FAIL: test_fail (tests.BasicTest)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/psebek/projects/pypete/tests/tests.py", line 18, in test_fail
self.assertTrue(False)
AssertionError: False is not true
======================================================================
FAIL: test_timed (tests.BasicTest)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/usr/lib/python2.7/site-packages/nose/tools/nontrivial.py", line 100, in newfunc
raise TimeExpired("Time limit (%s) exceeded" % limit)
TimeExpired: Time limit (0.001) exceeded
Pypete results:
repeat = 3 and number = 0
test_fail (tests.BasicTest):
+--------+-------------+----------+----------+-----------+
| Metric | current [s] | last [s] | best [s] | worst [s] |
+--------+-------------+----------+----------+-----------+
| best | 0.000034 | 0.000033 | 0.000033 | 0.000033 |
| avg | 0.000037 | 0.000033 | 0.000033 | 0.000036 |
| worst | 0.000039 | 0.000034 | 0.000034 | 0.000040 |
+--------+-------------+----------+----------+-----------+
test_time (tests.BasicTest):
+--------+-------------+----------+----------+-----------+
| Metric | current [s] | last [s] | best [s] | worst [s] |
+--------+-------------+----------+----------+-----------+
| best | 0.001184 | 0.001174 | 0.001158 | 0.001193 |
| avg | 0.001186 | 0.001184 | 0.001176 | 0.001193 |
| worst | 0.001189 | 0.001189 | 0.001196 | 0.001193 |
+--------+-------------+----------+----------+-----------+
test_time2 (tests.BasicTest):
+--------+-------------+----------+----------+-----------+
| Metric | current [s] | last [s] | best [s] | worst [s] |
+--------+-------------+----------+----------+-----------+
| best | 0.002216 | 0.002229 | 0.002144 | 0.002257 |
| avg | 0.002237 | 0.002238 | 0.002179 | 0.002276 |
| worst | 0.002252 | 0.002245 | 0.002201 | 0.002302 |
+--------+-------------+----------+----------+-----------+
test_timed (tests.BasicTest):
+--------+-------------+----------+----------+-----------+
| Metric | current [s] | last [s] | best [s] | worst [s] |
+--------+-------------+----------+----------+-----------+
| best | 0.010448 | 0.010492 | 0.010442 | 0.010490 |
| avg | 0.010465 | 0.010541 | 0.010470 | 0.010645 |
| worst | 0.010474 | 0.010621 | 0.010492 | 0.010751 |
+--------+-------------+----------+----------+-----------+
tests.test_arguments(0.001,):
+--------+-------------+----------+----------+-----------+
| Metric | current [s] | last [s] | best [s] | worst [s] |
+--------+-------------+----------+----------+-----------+
| best | 0.001188 | 0.001210 | 0.001150 | 0.001205 |
| avg | 0.001202 | 0.001213 | 0.001186 | 0.001219 |
| worst | 0.001213 | 0.001217 | 0.001205 | 0.001227 |
+--------+-------------+----------+----------+-----------+
tests.test_arguments(0.002,):
+--------+-------------+----------+----------+-----------+
| Metric | current [s] | last [s] | best [s] | worst [s] |
+--------+-------------+----------+----------+-----------+
| best | 0.002274 | 0.002250 | 0.002183 | 0.002250 |
| avg | 0.002280 | 0.002262 | 0.002204 | 0.002286 |
| worst | 0.002288 | 0.002273 | 0.002222 | 0.002318 |
+--------+-------------+----------+----------+-----------+
----------------------------------------------------------------------
Ran 6 tests in 1.619s
FAILED (failures=2)
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