I am trying to write some recursive code to explore the methods, classes,
functions, builtins, etc. of a package all the way down the hierarchy.
1) Preliminaries
In [2]: def explore_pkg(pkg):
...: return dir(pkg)
...:
In [3]: import numpy as np
In [4]: l2 = explore_pkg(np.random)
In [5]: len(l2)
Out[5]: 72 # np.random has 72 'things' underneath it
In [6]: l2[0:5]
Out[6]: ['Lock', 'RandomState', '__RandomState_ctor', '__all__', '__builtins__']
2) I ultimately need to create inputs to explore_pkg programmatically en route
to a recursively called function. The only way I can think of is to use
strings. But, passing a string such as 'np.random' into explore_pkg correctly
returns the methods/... associated with the string and not the module np.random
e.g. explore_pkg('np.random') will NOT do what I want
explore_pkg(eval('np.random')) does work but I understand eval is dangerous and
not to be trifled with.
explore_pkg(getattr(np,'random')) works but if I want to go deeper, I have to
nest getattrs.
Question: Is there a solution to this "turn a string into the module it
represents" problem? I have a vague feeling decorators might be what I need
but they've always confused me.
I have searched extensively but couldn't find anything directly related to this.
--- JBB
--
https://mail.python.org/mailman/listinfo/python-list
