Is there any other way than try & catch to handle error in matlab?
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I have a code that is executed to give a result. But it is possible that it would not execute due to some alteration done to the code before execution. How do I control the error that is expected if the code is not running. For example:
result = compute(x, y)
The value of result can be a real number or the compute function does not complete the execution. How do I assign a particular value (say -1) to result if the function fails to execute.
Antworten (2)
Walter Roberson
am 6 Aug. 2017
Bearbeitet: Walter Roberson
am 6 Aug. 2017
Do not have your function call
result = compute(x, y)
instead have it call
clear compute
result = test_function(@compute, substitute_value, x, y);
where
function output = test_function(fh, substitute_value, varargin)
try
output = feval(fh, varargin{:});
catch
output = substitute_value;
end
Now, as long as the function does not exit MATLAB or crash MATLAB, any error will be caught.
As long as only the function compute changes, and not the function test_function, then you should be fine.
Note: the above code does assume that compute() is not a function handle.
Jan
am 6 Aug. 2017
You cannot predict reliably, if the function fails or not without running it. Such a test is impossible even in theory (search for "Turing halting problem").
You can check if the inputs cause problems inside the function also:
function r = compute(x, y)
if y == 0
r = NaN;
else
r = x / y;
end
But a try catch block is the perfect solution for catching errors, if you cannot modify the function accordingly. Why do you want to avoid it?
4 Kommentare
Hayatullahi Adeyemo
am 6 Aug. 2017
Bearbeitet: Hayatullahi Adeyemo
am 6 Aug. 2017
Jan
am 6 Aug. 2017
The posted link is dead.
Do you modify M-code dynamically? And dare to run it? Bold.
quit = 17;
plot(quit, 3);
Now remove the first line and run the code again. Even try/catch in the caller will not help. Calling the code in a sandbox, e.g. as an additional Matlab engine, cannot solve problems like:
s = '*.*';
s = 'C:\Temp\file.mat'; % <- removed randomly
delete(s);
My impression is, that the problems are much more serious than a removed try.
Walter Roberson
am 6 Aug. 2017
Hayatullahi Adeyemo
am 6 Aug. 2017
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