check dimensions for parameters
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Hello, in a current setup I very often load datasets from an m file and write over current variables in the base workspace. My problem is that sometimes the dimensions differ and I then get problems with my simulations. Lets say I have a variable a = 1 in my workspace and then try to write a = [1 1; 1 1] from my m file. In that case I would like to cancel that and inform the user that there was a dimension mismatch for that variable. I tried some quite complicated way might work by using eval and evalin but there must be an easier way to fix that...can someone help me?
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Guillaume
2016년 5월 10일
The answer is to change the way you work and rewrite your script as a function. Instead of dumping your dataset into the base workspace you would pass these inputs to your function, which in the first step would simply validate the inputs and issue an error message if they're the wrong shape.
function [possibleoutput] = usedtobescript(a, b, c) %use better variable names
validateattributes(a, {'numeric'}, {'scalar'}); %issues an error if a is not numeric or scalar
%...
end
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Guillaume
2016년 5월 10일
As I said, use functions not scripts. And above all, do not use assignin, evalin, eval and co. They're not recommended for a reason. They cause more problem than they solve.
Use function inputs and outputs to pass variables between different pieces of code. It's much cleaner and it's easier to keep track of what is what. A function should not read or write variables in the base workspace.
As an aside, since scripts share the base workspace, there is no reason for a script to use evalin or assignin. The script can access the variable directly.
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