Is self-reference possible in MATLAB? - matlab

As noted here, functions in packages, as well as static methods in classes, still need to use a packagename.functionname syntax or import packagename.* for each function (since the imports are part of the function workspace and not global). This means that changing the package/class name later on can become a tedious nuisance.
Is there any way to do something like import this.*, i.e. a package/class name agnostic method to access all functions/static methods in the same package/class?

So... doesn't this require importthis to also be imported? Or is importthis a function you always have in your path?
It seems hardly more complex to just paste an "import this" block with this at the top of each function, and then you don't have to worry about importthis being in your path. I tend to feel that reliance on path is dangerous.
"Import This" block
%% Import own package
[~, pkgdir] = fileparts(fileparts(mfilename('fullpath')));
import([pkgdir(2:end) '.*']);
You can even put it in a try/catch block to make sure it's in a package directory, and decide what to do if it's not.
%% Import own package
try
[~, pkgdir] = fileparts(fileparts(mfilename('fullpath')));
import([pkgdir(2:end)'.*']);
catch err
if ~strcmp(err.identifier,'MATLAB:UndefinedFunction'), rethrow(err); end
end

I recently ran into a similar problem and found the following solution for packages. However it is VERY hacky.
You create a function called import this with an optional argument.
function to_eval = importthis(exclude_list)
if nargin == 0
exclude_list = [];
end
var_name = genvarname('A', exclude_list); %avoid shadowing
to_eval = ['[~,'...
, var_name...
, ']=fileparts(fileparts(mfilename(''fullpath'')));'... %get containing dir
, 'eval([''import '','...
, var_name...
, '(2:end),''.*'']);'... %remove '+'
, 'clear '... %clean up
, var_name
];
end
This function returns a string which can then be evaled that imports the "this" package. So in your package functions you would put the following near the top:
function B = myfunc(A)
eval(importthis);
%function body
end
You can also pass who to importhis, leaving your function's namespace clean.
function B = myfunc(A)
eval(importthis(who));
%function body
end
I can't decide whether I should feel proud or discusted by what I did.

This probably is not a bounty worthy answer but as you do not have any answers I thought I would post it anyway! You can invoke static methods via an instance of the class which you would only need to define once. You can invoke functions via a function handle but this would require one handle per function.
Using these techniques you could define all your static method and function references in one place. Then you would use these references throughout your package. Then if you decided to change the package name at a later point you would only need to update these references which are all stored in one place.
See:
Calling Static Methods
You can also invoke static methods using an instance of the class,
like any method:
obj = MyClass;
value = obj.pi(.001);
function_handle (#)
The following example creates a function handle for the humps function
and assigns it to the variable fhandle.
fhandle = #humps;

Related

equivalent of `evalin` that doesn't require an output argument (internally)

Background -- I was reading up on accessing shadowed functions, and started playing with builtin . I wrote a little function:
function klear(x)
% go to parent environment...
evalin('base', builtin('clear','x')) ;
end
This throws the error:
Error using clear
Too many output arguments.
I think this happens because evalin demands an output from whatever it's being fed, but clear is one of the functions which has no return value.
So two questions: am I interpreting this correctly, and if so, is there an alternative function that allows me to execute a function in the parent environment (that doesn't require an output)?
Note: I'm fully aware of the arguments against trying to access shadowed funcs (or rather, to avoid naming functions in a way that overload base funcs, etc). This is primarily a question to help me learn what can and can't be done in MATLAB.
Note 2
My original goal was to write an overload function that would require an input argument, to avoid the malware-ish behavior of clear, which defaults to deleting everything. In Q&D pseudocode,
function clear(x)
if ~exist('x','var') return
execute_in_base_env(builtin(clear(x)))
end
There's a couple issues with your clear override:
It will always clear in the base workspace regardless of where it's called from.
It doesn't support multiple inputs, which is a common use case for clear.
Instead I'd have it check for whether it was called from the base workspace, and special-case that for your check for whether it's clearing everything. If some function is calling plain clear to clear all its variables, that's bad practice, but it's still how that function's logic works, and you don't want to break that. Otherwise it could error, or worse, return incorrect results.
So, something like this:
function clear(varargin)
stk = dbstack;
if numel(stk) == 1 && (nargin == 0 || ismember('all', varargin))
fprintf('clear: balking at clearing all vars in base workspace. Nothing cleared.\n');
return;
end
% Check for quoting problems
for i = 1:numel(varargin)
if any(varargin{i} == '''')
error('You have a quote in one of your args. That''s not valid.');
end
end
% Construct a clear() call that works with evalin()
arg_strs = strcat('''', varargin, '''');
arg_strs = [{'''clear'''} arg_strs];
expr = ['builtin(' strjoin(arg_strs, ', '), ')'];
% Do it
evalin('caller', expr);
end
I hope it goes without saying that this is an atrocious hack that I wouldn't recommend in practice. :)
What happens in your code:
evalin('base', builtin('clear','x'));
is that builtin is evaluated in the current context, and because it is used as an argument to evalin, it is expected to produce an output. It is exactly the same as:
ans = builtin('clear','x');
evalin('base',ans);
The error message you see occurs in the first of those two lines of code, not in the second. It is not because of evalin, which does support calling statements that don't produce an output argument.
evalin requires a string to evaluate. You need to build this string:
str = 'builtin(''clear'',''x'')';
evalin('base',ans);
(In MATLAB, the quote character is escaped by doubling it.)
You function thus would look like this:
function clear(var)
try
evalin('base',['builtin(''clear'',''',var,''')'])
catch
% ignore error
end
end
(Inserting a string into another string this way is rather awkward, one of the many reasons I don't like eval and friends).
It might be better to use evalin('caller',...) in this case, so that when you call the new clear from within a function, it deletes something in the function's workspace, not the base one. I think 'base' should only be used from within a GUI that is expected to control variables in the user's workspace, not from a function that could be called anywhere and is expected (by its name in this case) to do something local.
There are reasons why this might be genuinely useful, but in general you should try to avoid the use of clear just as much as the use of eval and friends. clear slows down program execution. It is much easier (both on the user and on the MATLAB JIT) to assign an empty array to a variable to remove its contents from memory (as suggested by rahnema1 in a comment. Your base workspace would not be cluttered with variables if you used function more: write functions, not scripts!

Using unittest with own matlab toolbox

I inherited a code base in matlab, which I like to put under unittest with the matlab.unittest framework.
To make the code base more robust against arbitrary addpath of my users, I have put most of the code into +folders like a toolbox. So the general layout is:
+folder1/file1.m
+folder1/runtestsuite.m
+folder1/unittest_data/file1_testdata.mat
+folder1/+folder2/file2.m
+folder1/+folder2/unittest_data/file2_testdata.mat
...
and updated all internal references with the correct import statements.
Now, I like to add a unittest for file1.m. However if I put a file in +folder1/file1_test.m file1.m seems not to be visible.
Here is my example code of file1_test.m
classdef file1_test < matlab.unittest.TestCase
properties
path
end
methods(TestMethodSetup)
function setunittestdatapath(testCase)
p = mfilename('fullpath');
[directory,~,~]=fileparts(p);
testCase.path = fullfile(directory,'unittest_data');
end
end
methods (Test)
function file1_input(testCase)
%import folder1.file1
testdata = load(fullfile(testCase.path),'file1_testdata.mat');
result = file1(testdata.input);
testCase.verifyEqual(result, testdata.output);
end
end
end
If I uncomment the import statement the unittest works fine. So currently I have to add all import statements to each individual test, which I like to avoid. Is there a more elegant way for doing something like this?
I tried importing it at the beginning of the file, although matlab complains "Parse error at CLASSDEF: usage might be invalid MATLAB syntax." this also works. So what is the correct and most pragmatically way for doing something like this?
import statements only apply to the local scope of where they are used so if you want a function to be able to not use the full-qualified name, then you'll have to add the import statement to each function separately.
The import list scope is defined as follows:
Script invoked from the MATLAB® command prompt — Scope is the base MATLAB workspace.
Function, including nested and local function — Scope is the function and the function does not share the import list of the parent function. If the import list is needed in a MATLAB function or script and in any local functions, you must call the import function for each function.
For unit tests though, I would argue that it is probably best to use the fully-qualified function name every time (rather than relying on import) so that it's clear to the user what you're testing.
result = folder1.file1(testdata.input)
Currently import statements in MATLAB have function scope as mentioned in the answer by Suever.
However, I often use local functions as a workaround to mimic a file level import:
classdef file1_test < matlab.unittest.TestCase
properties
path
end
methods(TestMethodSetup)
function setunittestdatapath(testCase)
p = mfilename('fullpath');
[directory,~,~]=fileparts(p);
testCase.path = fullfile(directory,'unittest_data');
end
end
methods (Test)
function file1_input(testCase)
%import folder1.file1
testdata = load(fullfile(testCase.path),'file1_testdata.mat');
result = file1(testdata.input);
testCase.verifyThat(result, IsEqualTo(testdata.output));
end
end
end
% Include file level "import" functions below
function f = file1(varargin)
f = folder1.file1(varargin{:});
end
function c = IsEqualTo(varargin)
c = matlab.unittest.constraints.IsEqualTo(varargin{:});
end
Note in this example I "imported" both your source code as well as some of the test framework source code in order to use the literate form of verifyEqual using verifyThat. Note this is the same functional behavior, but in general there exists more functionality with the constraints than with the qualification methods so this may be helpful to you at some point.

MATLAB: Script with all my functions

Maybe it's a basic question but here I go. I would like to have a .m with all the functions that will be accessed by other scripts and functions.
I tried just doing a script with all the functions and call it in other functions code.
And I got and error. Could you please explain me how can I solve this?
I'm trying this, which gives me no error, and does what I want it to do, still, is it a good way to do it? Any suggestions?
function PruebasLlamaFuncion
funcionFEM=#PruebasTodasFunciones;
a=funcionFEM('OVERPOWER',1,5)
b=funcionFEM('POWEROVERWELMING',2)
end
...
function a=f(nombre,varargin)
f=str2func(nombre)
a=f(varargin{1:end});
end
function d=OVERPOWER(J,c)
d=J*c;
end
function e=POWEROVERWELMING(J)
e=J;
end
Function placement
Matlab, unlike a number of other languages, permits a single file to contain only one main function that is visible to the rest of the system. The main function is the first function. (Documentation)
Any functions that are defined after the main function body are called local functions. These functions each create their own separate workspace (scope) and can be called by one another and, of course, by the main function.
Any functions that are defined within the main function body are called nested functions. These functions have their own workspace but are also able to access and change the variables of their parent function under certain conditions. Nested functions at the same nesting level can call each other and local functions, but local functions cannot call nested functions since they are out of scope.
Workarounds
There are several options available to you depending on how you would like to proceed.
At the risk of giving too many options but desiring to be exhaustive, I'll put the list from what I would do first to what I would do last.
For most things, I would recommend 1 or 2.
The other options are more for creating libraries/APIs, but I included them to show what can be done.
Define Function1 and Function2 in separate m-files on the Matlab path or in the present working directory to call them normally.
Wrap the main body of your work (the one calling the functions) in a function itself and define the other functions as local functions or nested functions. Example:
function output = main(a,b,c)
Result=Function1(a,b,c);
Result2=Function2(b,d);
...
% You can define Function1 and Function2 here for nested functions
end
% Or you can define Function1 and Function2 here for local functions
You can get a bit more fancy and have a function that returns function handles (pointers) to the local or nested functions and then use the (in the example) struct to call the functions in another script:
function Functions = GetFunctions()
Functions.F1 = #(a,b,c) Function1(a,b,c);
Functions.F2 = #(a,b) Function2(a,b);
% You can define Function1 and Function2 here for nested functions
end
% Or you can define Function1 and Function2 here for local functions
If you have R2013b or above, you can do the same thing as above using the localfunctions function to create a cell array of handles to all local functions (in this case, the definitions are required to be outside the main function body).
function Functions = GetFunctions()
Functions = localfunctions(); % R2013b+ only
end
% Define Function1 and Function2 here for local functions
You can also create a class with static functions:
classdef Functions
methods(Static)
% Define Function1 and Function2 here and call them just like the struct above.
end
end
I hope that makes sense and hopefully helps.
I think you're misunderstanding something. A script is for calling a series of functions/other scripts in sequence. If you just want your functions to be accessible in other code, you only need to make sure they're on the path. You would never need a "script containing all the functions". You may be thinking of local functions, but these are the exact opposite of what you want (they can't be called from outside the function where they're defined or other local functions in the same file).
e.g. if Function1 and Function2 are on your path, you could write a script like this, perhaps as a demo for how to use those two functions:
a = 0;
b = 1;
c = 2;
d = 'Unicorns';
Result=Function1(a,b,c);
Result2=Function2(b,d);
It does not and should not have any function definitions in it. If your script can't find the functions, use addpath (see docs), to put the folder where these function files reside into your path. The m files should be given the same name, e.g. the following needs to go in a file called myfunc.m
function result = myfunc(a,b,c)
Functions in your working directory can also be called even if that directory isn't on your path.

How to implement an "importable namespace"?

I know that I can use a class consisting solely of static methods to implement a namespace in MATLAB. E.g.
classdef MyNamespace
methods (Static = true)
function [...] = foo(...)
...
end
function [...] = bar(...)
...
end
...
end
end
With the above I can call functions MyNamespace.foo, MyNamespace.bar, etc. (assuming, of course, that the file MyNamespace.m is in my search path, or in the current directory).
A paramount feature of this technique is that it allows simulating "namespace variables". For example, a function within the methods (Static = true) could have the form
function out = BAZ(newval)
persistent val;
out = val;
if nargin > 0, val = newval; end
end
With this, the method MyNamespace.BAZ can mimic a "namespace variable" MyNamespace.BAZ (though, admittedly, in a very cumbersome way).
This feature is one that I absolutely require.
The implementation of namespaces described above is ok, but I'd like to be able import namespace, so that I can call their functions using their "short" (aka "unqualified") names, such as foo, bar, etc.
How can I implement a namespace that can be imported, in the sense described above?
BTW, I'd prefer answers that build on the technique illustrated above (for implementing namespaces), since it's a technique I have some experience with, but I'm also open to alternatives that are not based on this technique.
MATLAB has a package system which allows creating a namespace of functions which are also importable. In short, just drop a directory whose name begins with a + in another directory on your path and add your function MATLAB files in that directory. If you have MyNamespace.m in the directory someDir then just create:
someDir/+MyNamespace/foo.m
someDir/+MyNamespace/bar.m
and so on. You can call them via MyNamespace.foo, MyNamespace.bar and import them:
import MyNamespace.foo
or:
import MyNamespace.*

How to nest anonymous functions in Matlab?

I have a file funcs.m that stores anonymous functions. They must be usable by the files in the directory where it is. Currently, I use the anonymous functions so that I execute the file funcs.m in different files but I think this is a a wrong way of doing things. The other functions such as main.m and its nested function nest.m need to use the anonymous functions from funcs.m. I think paths won't solve this problem because the files are in the same folder. Basically I could solve this problem by copy-pasting the anonymous functions to every file but code-smell so:
Is there some way of reusing the funcs.m having the anon functions in Matlab?
Example
main.m
function main
funcs; % loads the anonymous functions
nest(par1,...,parN)
end
nest.m
function nest(par1,...,parN)
funcs; %ERRR: This fires err, why? Look: this was sourced already in main.m!
function neededOnlyHere(par100)
bq(q,A) %This needs the functions of the funcs
end
neededOnlyHere(somePar) %ERR to use the anon funcs from funcs
end
Functions main.m and nest.m use this function funcs.m having the anonymous funcs
bq=#(q,A) q*A; %Bolded q
I=#(ii,jj,A) find(A(ii,:)==1 & A(jj,:)==0);
AiNotj=zeros(1,Ncut);
...
ERROR
Attempt to add "bq" to a static workspace.
See MATLAB Programming, Restrictions on
Assigning to Variables for details.
Error in funcs (line 10)
bq=#(q,A) q*A;
%Bolded q
Why it's breaking
You get the error when calling it in nest.m because having a nested function makes its enclosing function's workspace a "static workspace"; that is, variable names cannot be added via eval(), assignin(), or other "dynamic" techniques; only variables that are explicitly assigned in that function's text are allowed. Evaluating a script to define local variables - which is what you're doing when calling funcs.m - is "dynamic", so prohibited in functions with nested functions. It works in main.m because main has no nested functions and is thus a "dynamic" workspace.
There are a couple ways you could change it to work with static workspaces and nested functions. The first thing to ask is whether you really need to make them anonymous functions?
Using package functions instead
If you don't need them to be anonymous functions per se, just break them out and put each one as a regular function in its own .m file; e.g. bg.m, I.m, AiNotj.m, and so on. Then they're all available to all other functions in that directory.
If that turns in to a mess of files, or if you want to scope them and maybe make them available only to the selected functions that really need them (that is, the functions currently calling funcs()), then you can stick them in a package. Create a subdirectory called +myfuncs and move all the little function files in there; e.g. +myfuncs/bq.m, +myfuncs/I.m, +myfuncs/AiNotj.m. (The + prefix tells Matlab the directory is a package.) Then you can pull all of them in to your function scope by doing import myfuncs.* as a direct replacement for where you're currently calling funcs().
function nest(par1,...,parN)
import myfuncs.*;
function neededOnlyHere(par100)
bq(q,A) % This will work, resolving to myfuncs.bq
end
You can do the import myfuncs.* from the command line to make them available interactively, too.
This is probably how Matlab itself wants you to organize clusters of related functions like this, and would be my first approach. It's the least "smelly" IMHO. If you really wanted to be able to edit them all in a single file like funcs.m for convenience, you could write a little code munger in Perl or whatever that parsed funcs.m and output them all as equivalent individual functions as a preprocessing step. (I think it's a bit of a bummer that you can't define multiple top-level functions in an M-file like this, but oh well.)
If you really need to work with anonymous functions, there are some workarounds.
Passing functions in a struct
You can change your funcs() function to actually return a struct of all those anonymous functions, using field names instead of local variable names.
function out = funcs
out.bq=#(q,A) q*A; %Bolded q
out.I=#(ii,jj,A) find(A(ii,:)==1 & A(jj,:)==0);
out.AiNotj=zeros(1,Ncut);
For this, you'd have to prefix all the function references with the struct name you're holding them in. Don't know how big a deal this is for you.
function nest(par1,...,parN)
fs = funcs;
function neededOnlyHere(par100)
fs.bq(q,A) %This needs the functions of the funcs
end
Preallocating variables
To get funcs() to work as-is, you can statically pre-allocate variables with all the function names you're going to use, so the Matlab parser recognizes them as statically assigned variables. Then when you call funcs(), it will re-assign the values of the existing variables, which is permissible in dynamic workspaces.
function nest(par1,...,parN)
[bq, I, AiNotj] = deal(); % Preallocate all names from funcs
funcs;
function neededOnlyHere(par100)
bq(q,A) %This needs the functions of the funcs
end
This would be a bit of a pain, because you'd have to re-edit every file that uses funcs whenever a new function name is added. You could at least write a little perl script to auto-generate that line of code by parsing funcs.m and outputting a "[bg, I, AiNotj,...] = deal();" with all the functions it finds, and you can just copy that in to your code.
Another way to do this would be to have funcs actually return all the functions in its output list. This would have the benefit of continuing to work even as you add new functions to funcs.m, as long as you don't remove or change the order of your existing anonymous functions.
function [bg,I,AiNotj] = funcs()
bg = ...
I = ...
% And then in the calling functions:
[bg,I,AiNotj] = funcs(); % which you can copy and paste from funcs.m's header
There are many ways of passing anonymous functions:
1) Pass the function itself:
function main
f = #(t) t^2 - 3;
param = randn(12,1);
g = test22(param,f);
disp (g)
end
function g = test22(param,f)
g = f(param(2));
disp(param(2))
end
2) Use globals (which usually should be avoided in complex code)
function main
global f
f = #(t) t^2 - 3;
param = randn(12,1);
g = test22(param);
disp (g)
end
function g = test22(param)
global f
g = f(param(2));
disp(param(2))
end