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• Idiomatic way to do list/dict in Cython?

  - by ramanujan

  My problem: I've found that processing large data sets with raw C++ using the STL map and vector can often be considerably faster (and with lower memory footprint) than using Cython. I figure that part of this speed penalty is due to using Python lists and dicts, and that there might be some tricks to use less encumbered data structures in Cython. For example, this page (http://wiki.cython.org/tutorials/numpy) shows how to make numpy arrays very fast in Cython by predefining the size and types of the ND array. Question: Is there any way to do something similar with lists/dicts, e.g. by stating roughly how many elements or (key,value) pairs you expect to have in them? That is, is there an idiomatic way to convert lists/dicts to (fast) data structures in Cython? If not I guess I'll just have to write it in C++ and wrap in a Cython import.

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• How to find hidden properties/methods in Javascript objects?

  - by ramanujan

  I would like to automatically determine all of the properties (including the hidden ones) in a given Javascript object, via a generalization of this function: function keys(obj) { var ll = []; for(var pp in obj) { ll.push(pp); } return ll; } This works for user defined objects but fails for many builtins: repl> keys({"a":10,"b":2}); // ["a","b"] repl> keys(Math) // returns nothing! Basically, I'd like to write equivalents of Python's dir() and help(), which are really useful in exploring new objects. My understanding is that only the builtin objects have hidden properties (user code evidently can't set the "enumerable" property till HTML5), so one possibility is to simply hardcode the properties of Math, String, etc. into a dir() equivalent (using the lists such as those here). But is there a better way?

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