Search All of the Math Forum:
Views expressed in these public forums are not endorsed by
NCTM or The Math Forum.
|
|
Math Forum
»
Discussions
»
Software
»
comp.soft-sys.matlab
Notice: We are no longer accepting new posts, but the forums will continue to be readable.
Topic:
how to implement the "many tiny functions" paradigm?
Replies:
7
Last Post:
Jan 10, 2013 4:10 PM
|
 |
|
|
Re: how to implement the "many tiny functions" paradigm?
Posted:
Jan 10, 2013 3:02 PM
|
|
"kj" <no.email@please.post> wrote in message news:kcn2qd$ld5$2@reader1.panix.com... > In <kclpkc$65b$1@newscl01ah.mathworks.com> "Bruno Luong" > <b.luong@fogale.findmycountry> writes: > >>kj <no.email@please.post> wrote in message >><kckj4h$m4s$1@reader1.panix.com>... >>> >>> >>> One of the most often cited coding "best practices" is to avoid >>> structuring the code as one "large" function (or a few large >>> functions), and instead to break it up into many tiny functions. >>> One rationale for this strategy is that tiny functions are much >>> easier to test and debug. > >>I would be careful when applying blindly this "best practice". MATLAB have >>huge running performance penalty due to function overhead (as opposed to >>other programming language as C, fortran, ...) > >>You will slow down the code by putting simple (scalar) arithmetic >>expressions in function. If the expression is vectorized and supposes to >>operate on big array, then it's OK to put it in the functions. > > > To be sure, the benefits of using many tiny functions over a few > big ones need to be weighed against the performance costs of the > additional function calls. This is always true. > > In practice, however, I've found it is possible to narrow down > significantly the performance-critical parts of the code, outside > of which, the added cost of the additional function costs becomes > negligible. This usually creates a fairly large scope of applicability > for the "tiny functions" strategy. (I.e., a 100-line function may > be boiled down to ~10-20 2-3 line functions, and one 15-line > performance-critical computational "core".
Depending on what you're doing, there are three possibilities that you may want to explore.
If all these "tiny functions" are only used by your application, and your tests will live in the same directory, make your helpers private functions.
http://www.mathworks.com/help/matlab/matlab_prog/private-functions.html
If they are used by many files in different directories, or if your tests must live in a different directory, consider putting your helpers in a package directory.
http://www.mathworks.com/help/matlab/matlab_oop/scoping-classes-with-packages.html
While this documentation is in the object-oriented section of the documentation, packages are not limited to use only with MATLAB classdef files. You can store plain functions in a package and use them as such.
A third, somewhat "hacky" way to test many small subfunctions in your main file is to have a syntax that causes the main function to return a struct array whose fields contain function handles to the subfunctions. Your tests can then invoke the subfunctions using those function handles even though the subfunctions are not in scope. As long as the subfunction was in scope when the function handle was _created_ it doesn't matter if the subfunction is out of scope when the function handle is _executed._
http://www.mathworks.com/help/matlab/matlab_prog/applications-of-function-handles.html#brf_1tn-1
-- Steve Lord slord@mathworks.com To contact Technical Support use the Contact Us link on http://www.mathworks.com
|
|
|
|