Numpy 用Pyflakes进行静态分析|极客教程

我们将对NumPy代码库中的部分代码进行静态分析。为此我们需要先用Git从代码库中签出（check out）代码，然后用Pyflakes对其中的部分代码进行静态分析。

具体步骤

签出代码。

为了签出NumPy代码，我们需要用到Git。怎样安装Git不在本书的讨论范围之内。用来从代码库中提取代码的Git命令如下。

git clone git://github.com/numpy/numpy.git numpy

也可以选择从网址https://github.com/numpy/numpy下载zip格式的源代码。

对代码进行分析。

完成上一步骤后，我们应该已经创建了一个numpy目录，里面包括了全部的NumPy代码。进入该目录，然后运行如下命令。

$ pyflakes *.py
pavement.py:71: redefinition of unused 'md5' from line 69
pavement.py:88: redefinition of unused 'GIT_REVISION' from line 86
pavement.py:314: 'virtualenv' imported but unused
pavement.py:315: local variable 'e' is assigned to but never used
pavement.py:380: local variable 'sdir' is assigned to but never used
pavement.py:381: local variable 'bdir' is assigned to but never used
pavement.py:536: local variable 'st' is assigned to but never used
setup.py:21: 're' imported but unused
setup.py:27: redefinition of unused 'builtins' from line 25
setup.py:124: redefinition of unused 'GIT_REVISION' from line 118
setupegg.py:17: 'setup' imported but unused
setupscons.py:61: 'numpy' imported but unused
setupscons.py:64: 'numscons' imported but unused
setupsconsegg.py:6: 'setup' imported but unused