I am trying to create a Matlab Class, where the methods attributes are changed in the Class Constructor. The purpose of this is to hide / make visible some methods, depending on the class input.
For example:
classdef (HandleCompatible) myClass < dynamicprops & handle % & hgsetget
properties (Hidden)
myProp
end
methods (Hidden)
function obj = myClass(input)
%class constructor
%add some dynamic properties
switch input
case 1
%unknown code:
%make myMethod1 visible
case 2
%unknown code:
%make myMethod2 visible
otherwise
%unknown code:
%make myMethod1 visible
%make myMethod2 visible
end
end
end
methods (Hidden)
function myMethod1 (obj, input)
%function...
end
function output = myMethod2(obj, input)
%function...
end
end
end
I tried to use the following:
mco = metaclass(obj);
mlist = mco.MethodList;
mlist(myMethod1Index).Hidden = false;
, but I get the following error:
Setting the 'Hidden' property of the 'meta.method' class is not allowed.
Thank you for your reply.
This could be a solution, if I need to access my methods selectively in the class constructor. Though, I need to use these methods in my program, and to have them visible or not, at tab completion:
%Obj1
myObj1 = myClass (inputs, '-1');
myObj1.myMethod1(arg);
%myObj1.myMethod2 - hidden
%Obj2
myObj2 = myClass (inputs, '1');
%myObj2.myMethod1 - hidden
value1 = myObj2.myMethod2(arg);
%Obj3
myObj3 = myClass (inputs, '0');
myObj3.myMethod1(arg);
value2 = myObj3.myMethod2(arg);
%here i want to be able to access both methods
Maybe it is possible to select the method properties, during class constructor, and change the attributes. But this has to be done without using the metaclass
Why not expose only a factory method and build instances of different classes depending on the input? You can use access qualifiers to lock things down like so:
% a.m
classdef a
properties, a_thing, end
methods ( Access = ?factory )
function obj = a()
end
end
end
% b.m
classdef b
properties, b_thing, end
methods ( Access = ?factory )
function obj = b()
end
end
end
% factory.m
classdef factory
methods ( Static )
function val = build(arg)
if isequal(arg, 'a')
val = a;
else
val = b;
end
end
end
end
Related
I'm having a weird problem using object oriented matlab, and I'm not sure if I'm completely missing something, or I've hit some unusual behaviour.
I have a superclass defined as follows:
classdef (Abstract) AbstractSimulationData < matlab.mixin.Heterogeneous
properties (Abstract)
name
data
end
properties
timeStamp = -1
end
methods (Abstract)
CalculateData(obj, t)
end
methods
function data = GetData(obj, t)
if obj.timeStamp == t.t
data = obj.data;
else
obj.timeStamp = t.t;
obj.CalculateData(t);
data = obj.data;
end
end
end
end
When the concrete class implements the method CalculateData I intend it to set the superclass property data.
Two concrete classes from this are:
classdef A < AbstractSimulationData
properties
name = 'A'
data = []
end
methods
function obj = A
% No special initialisation
end
function CalculateData(obj, t)
test = t.B.GetData(t)
obj.data = rand(2,10);
end
end
end
And:
classdef B < AbstractSimulationData
properties
name = 'B'
data = containers.Map
end
methods
function obj = B
% No special initialisation
end
function CalculateData(obj, t)
if isempty(obj.data)
obj.data('left') = 1;
obj.data('right') = 2;
end
% Other operations
end
end
end
Within the A.CalculateData method I call the GetData method for B. This in turn calls the B.CalculateData method.
Now, as it filters back up, the data property gets set correctly so that B.GetData returns the value that was set in B.CalculateData.
But, when I go the next step up to A.GetData it returns [], the initialised value. Going through debug mode, the calculations definitely work in A.CalculateData and it seems to set data correctly, but when it jumps back up to the superclass obj.data is the default value from A.
A minimum working example to get this behaviour:
t.B = B();
t.t = 1;
a = A;
a.GetData(t);
>> test =
Map with properties:
Count: 2
KeyType: char
ValueType: any
>> ans =
[]
This is all part of a pretty big project, so it's hard to give the full context, but if it's possible from this, can someone explain why setting superclass data works for B but not A?
If it makes a difference B is returning a container.Map and A is returning 2xn matrix.
As far as I can tell from the documentation, it should work.
I like the OO programming style that matlabs App Designer uses (or at least the way I'm using it). Now I'm wondering if I can use the same style in my "normal" matlab class.
What I have now:
classdef myClass
properties
myVar;
end
methods
function Main(obj)
obj.myVar = "a";
obj = DoSomething(obj);
disp(obj.myVar) % outputs "c"
end
function obj = DoSomething(obj)
if(obj.myVar == "a")
obj.myVar="c";
else
obj.myVar = "b";
end
end
end
end
Which can be called externally using:
myClassInst = myClass;
myClassInst.Main()
I would like to get rid of all the "obj = " in the classdef, as is possible in App Designer. So something that would look like this:
classdef myClass
properties
myVar;
end
methods
function Main(obj)
obj.myVar = "a";
DoSomething(obj); % Just call the function without "obj = "
disp(obj.myVar) % outputs "a" because I didn't overwrite obj
end
function DoSomething(obj)
if(obj.myVar == "a")
obj.myVar="c";
else
obj.myVar = "b";
end
end
end
end
The equivalent of this seems to work in App Designer. So it appears you can modify variables in a class (instance?) in App Designer, while also being able to access the modified variable without explicitly overwriting your old class instance.
I noticed App Designer has all methods an properties set to (Access = private), though I'm not sure that has anything to do with it. Of course if I set everything to private, then I can't access the Main() method from outside anymore.
So my question is, how can I program in "normal" matlab, the same way as is possible in App Designer?
EDIT:
The following works in App Designer (I left out the methods/properties for the GUI elements):
classdef tmp < matlab.apps.AppBase
properties (Access = private)
myVar; % Description
end
methods (Access = private)
function doSomething(app)
if app.myVar == "a"
app.myVar = "c";
else
app.myVar = "b";
end
end
end
% Callbacks that handle component events
methods (Access = private)
% Code that executes after component creation
function startupFcn(app)
app.myVar = "a";
doSomething(app);
disp(app.myVar); % outputs "c"
end
end
end
You definitely can! All you have to do is inherit from the handle class, as opposed to a value class which is the default for matlab. You can also define private and public methods as in other languages.
The only thing you have to do is:
classdef myclass < handle % this is how you inherit from base class
properties
public_property
end
properties (Access=private)
private_property
end
methods
function obj = myclass() % class constructor
...
end
function public_function()
...
end
end
methods (Access=private)
function private_function()
...
end
end
end
Now every time you pass an object of this class to a function, you are not passing it by value, you are passing by reference (as you might be used to from python) and modifying it's properties modifies them also in the original object.
You need to inherit (< at the top of the class) from a handle class
classdef myClass < handle
properties
var
end
methods
function obj = myClass( varargin )
% Constructor function, called automatically when object is created
end
function someFunction( obj )
obj.randomizeVar(); % Equivalent to randomizeVar( obj );
end
function randomizeVar( obj )
obj.var = rand();
end
end
end
See the documentation for the difference between a "handle" and "value" class:
A value class constructor returns an object that is associated with the variable to which it is assigned. If you reassign this variable, MATLAB® creates an independent copy of the original object. If you pass this variable to a function to modify it, the function must return the modified object as an output argument. For information on value-class behavior, see Avoid Unnecessary Copies of Data.
A handle class constructor returns a handle object that is a reference to the object created. You can assign the handle object to multiple variables or pass it to functions without causing MATLAB to make a copy of the original object. A function that modifies a handle object passed as an input argument does not need to return the object.
Moreover, if you edit matlab.apps.AppBase, the class which you app designer code inherits, you can see that the first line is
classdef AppBase < handle
So you are literally doing the same thing, without the AppBase middle-man.
Matlab does not allow to define different methods to define multiple constructors with different list of parameters, for instance this will not work:
classdef MyClass
methods
function [this] = MyClass()
% public constructor
...
end
end
methods (Access = private)
function [this] = MyClass(i)
% private constructor
...
end
end
end
But, as illustrated in above example, it is sometimes useful to have private constructors with particular syntax that cannot be called from public interface.
How would you best handle this situation where you need to define both public and private constructors ?
Checking call stack ???
classdef MyClass
methods
function [this] = MyClass(i)
if (nargin == 0)
% public constructor
...
else
% private constructor
checkCalledFromMyClass();
...
end
end
end
methods(Static=true, Access=Private)
function [] = checkCalledFromMyClass()
... here throw an error if the call stack does not contain reference to `MyClass` methods ...
end
end
end
Define a helper base class ???
% Helper class
classdef MyClassBase
methods (Access = ?MyClass)
function MyClassBase(i)
end
end
end
% Real class
classdef MyClass < MyClassBase
methods
function [this] = MyClass()
this = this#MyClassBase();
end
end
methods (Static)
function [obj] = BuildSpecial()
obj = MyClassBase(42); %%% NB: Here returned object is not of the correct type :( ...
end
end
end
Other solution ???
One sneaky trick that I've used to try and work around this limitation is to use another 'tag' class that can only be constructed by MyClass, and then use that to work out which constructor variant you need. Here's a simple sketch:
classdef MyClass
properties
Info
end
methods
function o = MyClass(varargin)
if nargin == 2 && ...
isa(varargin{1}, 'MyTag') && ...
isnumeric(varargin{2}) && ...
isscalar(varargin{2})
o.Info = sprintf('Private constructor tag: %d', varargin{2});
else
o.Info = sprintf('Public constructor with %d args.', nargin);
end
end
end
methods (Static)
function o = build()
% Call the 'private' constructor
o = MyClass(MyTag(), 3);
end
end
end
And
classdef MyTag
methods (Access = ?MyClass)
function o = MyTag()
end
end
end
Note the Access = ?MyClass specifier which means that only MyClass can build instances of MyTag. There's more about using that sort of method attribute in the doc: http://www.mathworks.com/help/matlab/matlab_oop/method-attributes.html
You can have a constructor that accepts multiple syntaxes by taking advantage of varargin:
classdef MyClass
methods (Access = public)
function obj = MyClass(varargin)
% Do whatever you want with varargin
end
end
end
You might, more typically, have some inputs that are required for all syntaxes, and then some optional inputs as well:
classdef MyClass
methods (Access = public)
function obj = MyClass(reqInput1, reqInput2, varargin)
% Do whatever you want with varargin
end
end
end
If you want to have even more control over how things are constructed, I would have a constructor and then also have some public static methods that called the constructor.
For example, let's say I wanted to be able to construct an object either by supplying parameters directly, or by supplying the name of a config file containing parameters:
classdef MyClass
methods (Access = public)
function obj = MyClass(reqInput1, reqInput2, varargin)
% Do whatever you want with varargin
end
end
methods (Static, Access = public)
function obj = fromFile(filename)
myparams = readmyconfigfile(filename);
obj = MyClass(myparams.reqInput1, myparams.reqInput2, ...);
end
end
end
Then you can create an object either with o = MyClass(inputs) or o = MyClass.fromFile(filename).
If you wanted to allow people to construct only from a config file, you could then make the constructor private. And you could add additional public static methods if you wanted to call the constructor in other ways.
In any case, the main point is that the idiomatic way to have a constructor that accepts multiple syntaxes is to take advantage of varargin.
I'd be tempted to go for a modification on your 1st option, but to modify the constructor to have an undocumented "mode" rather than just any input arg.
In the example below I gave that name **private** but you could have anything you want that the end users are unlikely to stumble across....
To be doubly sure you could still check the stack.
function [this] = MyClass(i)
if (nargin == 0)
% public constructor
else
% private constructor
if ischar ( i ) && strcmp ( i, '**private**' )
this.checkCalledFromMyClass();
else
error ( 'MyClass:Consturctor', 'Error calling MyClass' );
end
end
end
end
I'd like to save a particular class property to disk, while ignoring the rest of the class properties. I think MATLAB allows the saveobj method to be overridden for this purpose. However, this saves the class object with only that property attached. I want to save the property itself, without any of the class information.
I might think that a suitable method would look like:
classdef myClass
properties
myProp
end
methods
def b = saveobj(a)
b = a.myProp;
end
def Save(a,fname)
save(fname,'a.myProp');
end
end
end
But neither of these have the desired effect. Can anyone help me, please?
You can overload the save function itself without having to go through saveobj:
classdef myClass
properties
myProp
end
methods
function [] = save(a,fname,varargin)
myProp = a.myProp; %#ok<PROP,NASGU>
save(fname,'myProp',varargin{:});
end
end
end
Then on the command window:
>> foo = myClass();
>> foo.myProp = 4;
>> foo.save('var.txt');
>> bar = load('var.txt','-mat');
>> bar.myProp
ans =
4
The first method (the one involving saveobj) is actually correct. For the purposes of discussion let us consider this simple class:
classdef testclass
properties
x
end
methods
function this = testclass(x)
this.x = x ;
end
function a = saveobj(this)
a = this.x ;
end
end
end
When you ask MATLAB to save an instance of your class, it will use the saveobj method when you call save if one exists. The output of this method can be an object, a struct, an array, whatever. You want to test that this has occurred, and you do something natural like this:
>> obj = testclass('hi')
obj =
testclass with properties:
x: 'hi'
>> save tmp.mat obj
>> clear all
>> load tmp.mat
>> obj
obj =
testclass with properties:
x: []
>>
And this is where I suspect your confusion arises. You expect obj to be a char but instead it's an empty object of class testclass. (You can verify that it is just an instance of the object based on the saved definition of the class, and that it is not created by calling the empty constructor.)
This may seem rather confusing until you understand how loadobj works. In order for MATLAB to know which static method to call on load, it saves the class definition in conjunction with whatever output you are providing from your custom saveobj method. When you call load it then loads the class definition and calls the loadobj static method if one exists. We can test this by modifying the class definition above:
classdef testclass
properties
x
end
methods
function this = testclass(x)
this.x = x ;
end
function a = saveobj(this)
a = this.x ;
end
end
methods( Static )
function this = loadobj(a)
this = testclass(a) ;
end
end
end
If you set a breakpoint in the loadobj method you can verify that the type of a is indeed char as you expect.
In Matlab, I can define a class as such:
classdef klass < handle
properties(Dependent)
prop
end
end
Matlab is perfectly happy instantiating an object of this class, even without defining a getter for prop. It only fails when I try to access it (understandably). I'd like to set the GetMethod dynamically based upon the property's name.
Unfortunately, even when the property is Dependent, the meta.property field for GetMethod is still read-only. And while inheriting from dynamicprops could allow adding a property and programmatically setting its GetMethod in every instance, I don't believe it could be used to change an existing property. I may have to go this route, but as prop must exist for every object I'd prefer to simply set the getter on a class-by-class basis. Is such a thing possible?
An alternative solution could be through some sort of catch-all method. In other languages, this could be accomplished through a Ruby-like method_missing or a PHP-like __get(). But as far as I know there's no (documented or otherwise) analog in Matlab.
(My use case: this class gets inherited by many user-defined subclasses, and all their dependent properties are accessed in a similar way, only changing based on the property name. Instead of asking users to write get.* methods wrapping a call to the common code for each and every one of their dependent properties, I'd like to set them all dynamically with anonymous function pointers containing the necessary metadata).
Here is my proposal: create a method in the superclass called add_dyn_prop. This method is to be called in the subclasses instead of creating a dependent property the usual way.
The idea is that the superclass inherit from dynamicprops and use addprop to add a new property, and set its accessor methods manually based on its name.
classdef klass < dynamicprops
methods (Access = protected)
function add_dyn_prop(obj, prop, init_val, isReadOnly)
% input arguments
narginchk(2,4);
if nargin < 3, init_val = []; end
if nargin < 4, isReadOnly = true; end
% create dynamic property
p = addprop(obj, prop);
% set initial value if present
obj.(prop) = init_val;
% define property accessor methods
% NOTE: this has to be a simple function_handle (#fun), not
% an anonymous function (#()..) to avoid infinite recursion
p.GetMethod = #get_method;
p.SetMethod = #set_method;
% nested getter/setter functions with closure
function set_method(obj, val)
if isReadOnly
ME = MException('MATLAB:class:SetProhibited', sprintf(...
'You cannot set the read-only property ''%s'' of %s', ...
prop, class(obj)));
throwAsCaller(ME);
end
obj.(prop) = val;
end
function val = get_method(obj)
val = obj.(prop);
end
end
end
end
now in the subclass, instead of defining a dependent property the usual way, we use this new inherited function in the constructor to define a dynamic property:
classdef subklass < klass
%properties (Dependent, SetAccess = private)
% name
%end
%methods
% function val = get.name(obj)
% val = 'Amro';
% end
%end
methods
function obj = subklass()
% call superclass constructor
obj = obj#klass();
% define new properties
add_dyn_prop(obj, 'name', 'Amro');
add_dyn_prop(obj, 'age', [], false)
end
end
end
The output:
>> o = subklass
o =
subklass with properties:
age: []
name: 'Amro'
>> o.age = 10
o =
subklass with properties:
age: 10
name: 'Amro'
>> o.name = 'xxx'
You cannot set the read-only property 'name' of subklass.
Of course now you can customize the getter method based on the property name as you initially intended.
EDIT:
Based on the comments, please find below a slight variation of the same technique discussed above.
The idea is to require the subclass to create a property (defined as abstract in the superclass) containing the names of the desired dynamic properties to be created. The constructor of the superclass would then create the specified dynamic properties, setting their accessor methods to generic functions (which could customize their behavior based on the property name as you requested). I am reusing the same add_dyn_prop function I mentioned before.
In the subclass, we are simply required to implement the inherited abstract dynamic_props property, initialized with a list of names (or {} if you dont want to create any dynamic property). For example we write:
classdef subklass < klass
properties (Access = protected)
dynamic_props = {'name', 'age'}
end
methods
function obj = subklass()
obj = obj#klass();
end
end
end
The superclass is similar to what we had before before, only now is it its responsibility to call the add_dyn_prop in its constructor for each of the property names:
classdef klass < dynamicprops % ConstructOnLoad
properties (Abstract, Access = protected)
dynamic_props
end
methods
function obj = klass()
assert(iscellstr(obj.dynamic_props), ...
'"dynamic_props" must be a cell array of strings.');
for i=1:numel(obj.dynamic_props)
obj.add_dyn_prop(obj.dynamic_props{i}, [], false);
end
end
end
methods (Access = private)
function add_dyn_prop(obj, prop, init_val, isReadOnly)
% input arguments
narginchk(2,4);
if nargin < 3, init_val = []; end
if nargin < 4, isReadOnly = true; end
% create dynamic property
p = addprop(obj, prop);
%p.Transient = true;
% set initial value if present
obj.(prop) = init_val;
% define property accessor methods
p.GetMethod = #get_method;
p.SetMethod = #set_method;
% nested getter/setter functions with closure
function set_method(obj,val)
if isReadOnly
ME = MException('MATLAB:class:SetProhibited', sprintf(...
'You cannot set the read-only property ''%s'' of %s', ...
prop, class(obj)));
throwAsCaller(ME);
end
obj.(prop) = val;
end
function val = get_method(obj)
val = obj.(prop);
end
end
end
end
Note: I did not use ConstructOnLoad class attribute or Transient property attribute, as I am still not sure how they would affect loading the object from a saved MAT-file in regards to dynamic properties.
>> o = subklass
o =
subklass with properties:
age: []
name: []
>> o.name = 'Amro'; o.age = 99
o =
subklass with properties:
age: 99
name: 'Amro'
Check if this is what you want. The problem is that the user will need to get the properties using (), which may be quite boring, but anyway, I think this way you can change the variables. You can't change them directly on the class, but you can change the objects property values on demand. It doesn't need to change the values on the constructor, you can do that using another function that will be inherited by the classes.
klass1.m
classdef(InferiorClasses = {?klass2}) klass < handle
methods
function self = klass
selfMeta = metaclass(self);
names = {selfMeta.PropertyList.Name};
for name = names
switch name{1}
case 'prop_child_1'
self.(name{1}) = #newGetChild1PropFcn;
case 'prop_child_2'
self.(name{1}) = #newGetChild2PropFcn;
end
end
end
end
methods(Static)
function out = prop
out = #defaultGetPropFcn;
end
end
end
function out = defaultGetPropFcn
out = 'defaultGetPropFcn';
end
function out = newGetChild1PropFcn
out = 'newGetChild1PropFcn';
end
function out = newGetChild2PropFcn
out = 'newGetChild2PropFcn';
end
klass2.m
classdef klass2 < klass
properties
prop_child_1 = #defaultGetChildPropFcn1
prop_child_2 = #defaultGetChildPropFcn2
end
methods
function self = klass2
self = self#klass;
end
end
end
function out = defaultGetChildPropFcn1
out = 'defaultGetChildPropFcn1';
end
function out = defaultGetChildPropFcn2
out = 'defaultGetChildPropFcn2';
end
Output:
a = klass2
b=a.prop_child_1()
b =
newGetChild1PropFcn