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| References | <F8395F78-615E-4FBD-B6FC-1D6173EAEA45@mcgill.ca> <F4EAD1ED-563D-4D6E-A50C-68308A9F26B7@mcgill.ca> <BANLkTimRchgQDVoHpF=mgVX51+Ur1igtnA@mail.gmail.com> <BANLkTik69+ga_aRnYPcf+hMwTsai4V3a9w@mail.gmail.com> |
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| Date | 2011-05-31 13:34 +1000 |
| Subject | Re: scope of function parameters (take two) |
| From | Chris Angelico <rosuav@gmail.com> |
| Newsgroups | comp.lang.python |
| Message-ID | <mailman.2293.1306812886.9059.python-list@python.org> (permalink) |
On Tue, May 31, 2011 at 1:18 PM, Daniel Kluev <dan.kluev@gmail.com> wrote: > On Tue, May 31, 2011 at 2:05 PM, Chris Angelico <rosuav@gmail.com> wrote: >> Infinitely-nested scoping is simply one of the casualties of a >> non-declarative language. > > Well, this is not accurate, as you can have 'infinitely-nested > scoping' in python, in form of nested functions. For example, you can > use map(lambda x: <expressions with x, including other > map/filter/reduce/lambda's>, list_of_x), and you will have your > isolated scopes. Although due to lambdas supporting only expressions, > following this style leads to awkward and complicated code (and/or > instead if, map instead for, and so on). That's an incredibly messy workaround, and would get ridiculous if you tried going many levels in. It's like saying that a C-style 'switch' statement can be implemented in Python using a dictionary of lambdas... and then trying to implement fall-through. But you're right; a lambda does technically create something of a nested scope - albeit one in which the only internal variables are its parameters. Chris Angelico
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Re: scope of function parameters (take two) Chris Angelico <rosuav@gmail.com> - 2011-05-31 13:34 +1000
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