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Groups > comp.lang.python > #63516
| From | roy@panix.com (Roy Smith) |
|---|---|
| Newsgroups | comp.lang.python |
| Subject | Re: Recover handle to shadowed builtin? |
| Date | 2014-01-08 15:15 -0500 |
| Organization | PANIX -- Public Access Networks Corp. |
| Message-ID | <lakbkt$n27$1@panix2.panix.com> (permalink) |
| References | <mailman.5194.1389210743.18130.python-list@python.org> |
In article <mailman.5194.1389210743.18130.python-list@python.org>, Roy Smith <roy@panix.com> wrote: >I'm working with ipython's pylab mode, which replaces the builtin sum() = >with the one from numpy: >[...] >Is there any way to recover a reference to the builtin sum()? Sigh. I figured this out myself. What you want is __builtins__.sum ... BUT, not only does pylab overwrite sum(), it overwrites __builtins__ as well! Instead of a module, it's now a dict. You can still get at the builtin sum, but you need to do __builtins__["sum"] ======================================================== $ ipython Python 2.7.3 (default, Aug 1 2012, 05:14:39) Type "copyright", "credits" or "license" for more information. IPython 0.12.1 -- An enhanced Interactive Python. [...] In [1]: type(__builtins__) Out[1]: module ======================================================== $ ipython --pylab Python 2.7.3 (default, Aug 1 2012, 05:14:39) Type "copyright", "credits" or "license" for more information. IPython 0.12.1 -- An enhanced Interactive Python. [...] In [1]: type(__builtins__) Out[1]: dict ======================================================== I am slowly coming to the conclusion that the best way to deal with pylab is to not use it. Overwriting sum() with a different sum() I can accept, as a useful shortcut. Overwriting __builtins__ seems like wanton vandalism of the namespace.
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Recover handle to shadowed builtin? Roy Smith <roy@panix.com> - 2014-01-08 14:52 -0500
Re: Recover handle to shadowed builtin? roy@panix.com (Roy Smith) - 2014-01-08 15:15 -0500
Re: Recover handle to shadowed builtin? Chris Angelico <rosuav@gmail.com> - 2014-01-09 09:22 +1100
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