Mailman 3 December 2013 - Python-ideas

PEP draft - Composable futures for reactive programming
by Sergii Mikhtoniuk 28 Dec '13

28 Dec '13

Hi all, I would very much appreciate your opinion on my proposal for improvement of *concurrent.futures* package. Comparing to other languages such as Scala and C#, Python’s futures significantly fall behind in functionality especially in ability to chain computations and compose different futures without blocking and waiting for result. New packages continue to emerge (*asyncio*) which provide their own futures implementation, making composition even more difficult. Proposed improvement implements Scala-like Future as a monadic construct. It allows performing multiple kinds of operations on Future’s result without blocking, enabling reactive programming in Python. It implements common pattern separating *Future* and *Promise* interface, making it very easy for 3rd party systems to use futures in their API. Please have a look at this PEP draft<https://rawgithub.com/mikhtonyuk/rxpython/master/pep-0000.html>, and reference implementation <https://github.com/mikhtonyuk/rxpython> (as separate library). I’m very interested in: - How PEPable is this? - What are your thoughts on backward compatibility (current implementation does not sacrifice any design points for it, but better compatibility can be achieved)? - Thoughts on Future-based APIs in other packages? Thanks, Sergii

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Re: [Python-ideas] "maybe import"?
by Amber Yust 27 Dec '13

27 Dec '13

On Thu Dec 26 2013 at 8:57:42 PM, Gregory P. Smith <greg(a)krypto.org> wrote: > Such idioms are common. Though I don't think we should encourage their use. Is this a case of "we shouldn't encourage optional dependencies" or "we shouldn't encourage this kind of idiom as a means of implementing optional dependencies" - and if the latter, what alternative would you point people at instead?

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textwrap.TextWrapper width=None (or Inf)
by Matej Cepl 26 Dec '13

26 Dec '13

Hi, I wonder why nobody asked on bugs.python.org for rather obvious functionality of being able to reflow a paragraph to one line? Meaning, that any paragraph would be stripped of all whitespace (etc. ... whatever is configured by the additional parameters of the TextWrapper class) and then joined into long line. I know that ''.join(text.splitlines()) does something similar, but a) it doesn't handle all whitespace munging, b) it just seems like an obvious functionality for TextWrapper to have. Any thoughts on it? Should I just file a bug? Best, Matěj -- http://www.ceplovi.cz/matej/, Jabber: mcepl<at>ceplovi.cz GPG Finger: 89EF 4BC6 288A BF43 1BAB 25C3 E09F EF25 D964 84AC [...] a superior pilot uses his superior judgment to avoid having to exercise his superior skill. -- http://www.jwz.org/blog/2009/09/that-duct-tape-silliness/#comment-10653

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Reducing language complexity
by anatoly techtonik 25 Dec '13

25 Dec '13

One of the tools to reduce language complexity is "explicitness" or the direct link to help/tutorial/documentation from the concept. The problem with most concepts in computer languages that they don't have distinct markers by which you can recognize one feature or another. For example, you can't recognize that code is generator based or uses metaclass magic without searching for yield or some references to metaclass through the source file. One of the ways to reduce language complexity for new people who read you code, is to prepare them for advanced concepts that your code uses beforehand. For example, with the following section: using generators as yield ^^^ name of this language feature and also help reference ^^^ distinct keywords and feature markers that you enable -- anatoly t.

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thoughts on the new 3.4 statistics module
by Wolfgang 25 Dec '13

25 Dec '13

First of all: thank you, Steven and everyone else involved, for taking on the task of starting to implement this long-missed (at least by me) feature ! I really hope the module will be a success and grow over time. I have two thoughts at the moment about the implementation that I think may be worth discussing, if it hasn't happened yet (I have to admit I did not go through all previous posts on this topic, only read the PEP): First: I am not entirely convinced by when the module raises Errors. In some places its undoubtedly justified to raise StatisticsError (like when empty sequences are passed to mean()). On the other hand, should there really be an error, when for example no unique value for the mode can be found? Effectively, that would force users to guard every (!) call to the function with try/except. In my opinion, a better choice would be to return float('nan') or even better a module-specific object (call it Undefined or something) that one can check for. This behavior could, in general, be implemented for cases, where input can actually be handled and a result be calculated (like a list of values in the mode example), but this result is considered "undefined" by the algorithm. Second: I am not entirely happy with the three different flavors of the median function. I *do* know that this has been discussed before, but I'm not sure whether *all* alternatives have been considered (the PEP only talks about the median.low, median.high syntax, which, in fact, I wouldn't like that much either. My suggestion would be to have a resolve parameter, by which the behavior of a single median function can be modified. My main argument here is that as the module will grow in the future there will be many more such situations, in which different ways of calculating statistics are all totally acceptable and you would want to leave the choice to the user (the mode function can already be considered as an example: maybe the user would want to have the list of "modes" returned in case that no unambiguous value can be calculated; actually the current code seems to be prepared for later implementation of this feature because it does generate the list, just is not returning it). Now if, in all such situations, the solution is to have extra functions the module will soon end up completely cluttered with them. If, on the other hand, every function that will foreseeably have to handle ambiguous situations had a resolve parameter the module structure would be much clearer. In the median example you would then call median(data) for the default behavior, arguably the interpolation, but median(data, resolve='low') or median(data, resolve='high') for the alternative calculations. Statistically educated users could then guess, relatively easily, which functions have the resolve parameter and a quick look at the function's help could tell them, which arguments are accepted. Finally, let me just point out that these are really just first thoughts and I do understand that these are design decisions about which different people will have different opinions, but I think now is still a good time to discuss them, while with an established and (hopefully :) ) much larger module you will not be able to change things that easily anymore. Hoping for a lively discussion, Wolfgang

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Warning on conditionals
by f p 17 Dec '13

17 Dec '13

Hi, I'm new here, There are cases of bad use of int or str constants without comparison operators in the if statement as shown in this example: http://stackoverflow.com/questions/20633818/python-if-elif-always-not-worki…. Maybe the case in which the if statement is defeated should rate a warning.

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Pipe indentation
by musicdenotation＠gmail.com 12 Dec '13

12 Dec '13

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Slightly changing the signature of the inspect.Parameter constructor
by Antony Lee 10 Dec '13

10 Dec '13

It seems to me that POSITIONAL_OR_KEYWORD is the most often used kind of Parameter (after all, this is the "default" kind of Parameter), so perhaps the constructor for Parameter could be changed from def __init__(self, name, kind, *, default=_empty, annotation=_empty, _partial_kwarg=False): to def __init__(self, name, kind=Parameter.POSITIONAL_OR_KEYWORD, *, default=_empty, annotation=_empty, _partial_kwarg=False): Any thoughts on that? Best, Antony

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Automagically set logger name
by Tin Tvrtković 10 Dec '13

10 Dec '13

Hello, usually logger instances are retrieved and initialized with the module name, using the well-known pattern: logger = logging.getLogger(__name__) In Java's very popular log4j library (which is cited as an influence by PEP 282), loggers are usually retrieved and initialized in basically an identical way: private final static Logger LOG = Logger.getLogger(<name-of-class>.class); However, in the upcoming log4j 2 library, a new way is available: private final static Logger LOG = LogManager.getLogger(); // Returns a Logger with the name of the calling class. [1] Basically the method throws an exception, catches it and fishes out the class name from the stack trace. This is a little less explicit, but still a more convenient (and less annoying) way of accomplishing an extremely common pattern. I was wondering what the core devs make of it: - is it a good idea? (In general, and in Python) Is it worth it? - is it feasible in Python? (taking into account other implementations too) - are there any gotchas that would make it worse than the current standard? [1]: https://svn.apache.org/repos/asf/logging/log4j/log4j2/trunk/log4j-api/src/m…

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Batching/grouping function for itertools
by Amber Yust 09 Dec '13

09 Dec '13

After seeing yet another person asking how to do this on #python (and having needed to do it in the past myself), I'm wondering why itertools doesn't have a function to break an iterator up into N-sized chunks. Existing possible solutions include both the "clever" but somewhat unreadable... batched_iter = zip(*[iter(input_iter)]*n) ...and the long-form... def batch(input_iter, n): input_iter = iter(input_iter) while True: yield [input_iter.next() for _ in range(n)] There doesn't seem, however, to be one clear "right" way to do this. Every time I come up against this task, I go back to itertools expecting one of the grouping functions there to cover it, but they don't. It seems like it would be a natural fit for itertools, and it would simplify things like processing of file formats that use a consistent number of lines per entry, et cetera. ~Amber

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