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i just posted below query to comp.lang.python, but i feel this kind of question has some kind of right-of-way here on stackoverflow, too, so be it repeated. the essence: why does ‘builtins’ have two distinct interpretations in python 3?—here the details go:

i would be very gladly accept any commentaries about what this sentence, gleaned from http://celabs.com/python-3.1/reference/executionmodel.html, is meant to mean, or why gods have decided this is the way to go. i anticipate this guy named Kay Schluehr will have a say on that, or maybe even the BDFL will care to pronounce __builtins__ the correct way to his fallovers, followers, and fellownerds::

The built-in namespace associated with the execution of a code block is actually found by looking up the name builtins in its global namespace; this should be a dictionary or a module (in the latter case the module’s dictionary is used). By default, when in the main module, builtins is the built-in module builtins; when in any other module, builtins is an alias for the dictionary of the builtins module itself. builtins can be set to a user-created dictionary to create a weak form of restricted execution.

it used to be the case that there were at least two distinct terms, ‘builtin’ (in the singular) and ‘builtins’ (in the plural), some of which existed both in module and in dict form (?just guessing?). now there is only ‘builtins’, so fortunately the ambivalence between singular and plural has gone—good riddance.

but why does __builtins__ change its meaning depending on whether this is the scope of the ‘script’ (i.e. the module whose name was present, when calling python foobar.py) or whether this is the scope of a secondary module (imported or executed, directly or indirectly, by foobar.py)? i cannot understand the reasoning behind this and find it highly confusing.

rationale: why do i care?—i want to be able to ‘export names to the global namespace that were not marked private (by an underscore prefix) in a python module that i execute via exec( compile( get ( locator ), locator, 'exec' ), R ) where R is supposed to going to hold the private names of said module’. it is a little arcane but the basic exercise is to by-pass python’s import system and get similr results... it is all about injecting names into the all-global and the module-global namespaces.

still i get trapped by the above wordings in tzhe docs, and i have a weird case of a vanishing names, so maybe some people will care to share their thoughts.

love & ~flow

thanks indeed

+1  A: 

getattr(__builtins__, '__dict__', __builtins__) should give you the dict that you want to update to "export names to the global namespace", whether __builtins__ is a dict (then it doesn't have a __dict__ attribute so getattr returns the third argument, which is the dict __builtins__ itself) or a module (then it does have that attribute and getattr returns it). This is the workaround. As to why Python's documented to work in a way requiring such a tangled workaround, I'd classify it as an unfortunate case of an implementation issue surfacing to user-visible (and indeed documented) level (sigh). Pity we didn't think of fixing it in the move to Python 3, but it's too late to make backwards-incompatible changes now:-(.

Alex Martelli
thanks a lot for this quick and simple solution. this issue has caused quite a bit of searching for me.
flow