Is there a built-in function to validate a class property that should be a cell array?
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I'm new to classes and learning about how to define properties and validate their values.
I have a class with a property A that is a cell array of doubles (possibly matrices). For example:
A =
1×2 cell array
{[0.7000]} {[0.9000]}
classdef MKFObserver < matlab.mixin.Copyable
properties (SetAccess = immutable)
Ts {mustBeNumeric}
n {mustBeInteger}
%...etc
end
properties
A % how to validate this?
B
C
D
P {mustBeNumeric}
Q {mustBeNumeric}
R {mustBeNumeric}
%...etc
end
Can I use a built in function like {mustBeNumeric} or do I need to write my own validation function?
3 Comments
per isakson
on 4 Jun 2022
Something like this
A (1,2) {mustBeUnderlyingType(A,'cell')}
Not tested
Accepted Answer
Edric Ellis
on 6 Jun 2022
Rather than a validator, you could perhaps just use the class specification? (In my code below I'm using a function with an arguments block, but the syntax is exactly the same as a properties block in a classdef). Note that this will accept anything that can be converted to a cell, if you care about distributed arrays, then you should use the approach suggested by @Sean de Wolski.
myFcn({1,2}); % works
myFcn([1,2]); % fails
function myFcn(in)
arguments
in (1,2) cell
end
% do stuff
end
1 Comment
More Answers (2)
Sean de Wolski
on 5 Jun 2022
Edited: Sean de Wolski
on 5 Jun 2022
I think you'll have to write your own. Must be underlying type is for distributed, gpuArrays and others that masquerade as the underlying type.
mustBeUnderlyingType({pi},'double')
You could probably get away with this as your validator: cellfun(@(x)mustBeA(x, 'double'),PropertyName)
c = {pi,magic(3)}
d = {pi, "hello"}
cellfun(@(x)mustBeA(x, 'double'),c)
cellfun(@(x)mustBeA(x, 'double'),d)
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