How do I avoid getting fooled by 'implicit expansion'?

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I am trying my very best not to be a grumpy old man here, but I just wasted the better part of an hour because of the addition of 'implicit expansion', and I need to hear from the proponents of this feature how to live with it. The offending bit of code was:
smoothed=smooth(EEG.data(iC,:),EEG.srate*60,'moving');
deviation=EEG.data(iC,:)-smoothed;
this bit of code kept giving me a 'memory error', which was odd, since 'deviation' should be a lot smaller than 'EEG'. However, EEG is very large, and I don't have room for two of them in my memory, so I figured there might be some intermediate step in calculation that was tripping me up, or perhaps windows was hogging the resources, or something else out of my control. It took two restarts of matlab, and one reboot of the pc, and finally a complicated rewrite of the script (which still didn't fix it) to finally realize that 'smooth' (which is a matlab built-in) was changing the dimensions, such that I was subtracting a column vector from a row vector.
What is the good coding practice for this not to occur? I would have thought that having a language that complained when you performed an ill-defined operation was the good solution to this problem, but I can see from my google search that apparently a lot of people think that 'implicit expansion' is a great good. How do you avoid pitfalls such as this? (please note that if I hadn't been running out of memory, I might have made it a good deal further down the script before noticing that something was off).
Should I just never trust any command to preserve the dimensions of my arrays, even if it's an inbuilt one?
  10 Comments
Matt J
Matt J on 19 Nov 2025 at 20:25
Edited: Matt J on 19 Nov 2025 at 20:26
Many times old codes run this new function and it takes working through 1000s of lines to find that the bug was just a bad update.
Not me. Hasn't hapened to me once in the 9 years since implicit expansion was introduced.
Walter Roberson
Walter Roberson on 19 Nov 2025 at 22:55
I was caught by implicit expansion roughly 3 times when implicit expansion was first introduced. In each case, it was sloppy code that would have crashed before implicit expansion. Code along the lines of
function c = addme(a,b)
c = a + b;
end
when I originally wrote the code, I "knew" that I had to pass in two vectors with the same orientation, but I forgot about that a couple of months later and passed in vectors of mixed orientation. Sure, the first time I encountered it, it might have taken 20-ish minutes to track down, as I wasn't used to looking for such problems, but I quickly learned to ask the right questions and it stopped being a problem.

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Accepted Answer

Jan
Jan on 19 Feb 2018
Edited: Jan on 16 Feb 2022
Should I just never trust any command to preserve the dimensions of my arrays,
even if it's an inbuilt one?
The shapes of the output of built-in function have been subject to changes in the past and I expect this to happen in the future also. Therefore I catch my assumptions about shapes in a "unit-test" like function. So when I write
smoothed = smooth(EEG.data(iC,:), EEG.srate*60, 'moving');
I add this to the test function:
y = smooth(rand(1, 100), 5, 'moving');
if ~isrow(y)
error('SMOOTH does not reply a row vector for a row vector input.');
end
Nevertheless, it is a lot of work to do this for all assumptions. In many cases I'm not even aware of what I assume, e.g. for strncmp('hello', '', 2), which has changed its behavior in the past also.
In your case it would have been smart and efficient, if
deviation = EEG.data(iC,:) - smoothed
causes an error. Unfortunately the implicit expansion tries to handle this smartly, but it is smarter than the programmer in many cases. When it is intended, the implicit expansion is nice and handy, but it is an invitation for bugs also. All we can do is to live with it, because it is rather unlikely that TMW removes this feature. But I cannot be bad to write this as an enhancement request to them.
To answer the actual question:
How do I avoid getting fooled by 'implicit expansion'?
Use Matlab < R2016b, at least for testing your code.

More Answers (4)

Guillaume
Guillaume on 19 Feb 2018
Yes, some complain about implicit expansion. For me, it's a logical expansion (pun intended) of the 1-D scalar expansion to N-D. On the other hand, I was also happy with bsxfun.
As to your problem, at the heart it's a design failure on your part I'm afraid. If you never validate your assumptions, you can expect that things go wrong. Instead of a single large script, use functions. The first thing that a function should do is validate that its inputs are as expected. If two vectors are expected as input, check they're the same size, etc. Whenever I write a function, the first thing written is the help, with a clear listing of the input and their requirements, followed by actual validation of these requirements.
In your case, a simple
assert(size(v1) == size(v2))
would have caught the problem.
The implicit expansion forces you to be more careful about the shape of your vectors. In my opinion, it's not a bad thing.
  2 Comments
kaare
kaare on 19 Feb 2018
... I'm sorry, but this is not very helpful advice. We are, literally, talking about two lines of code. Your suggestion amounts to checking my assumptions every time I call a built-in routine. Would you have placed 'deviation=EEG.data(iC,:)-smoothed;' inside a subfunction?
John D'Errico
John D'Errico on 19 Feb 2018
Edited: John D'Errico on 19 Feb 2018
Admittedly, I would not be using assert here to check dimensions. But the fact remains that I would KNOW the shape of my arrays. If you don't know positively what shape arrays and vectors are produced by any operation, then it pays to learn to be more careful.
When you use a function, make sure you know what it returns. Read the help. Try a test case, in case the help was not sufficiently clear for you.

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Matt J
Matt J on 19 Feb 2018
Well, the error message would have told you that the out-of-memory was originating in the line
deviation=EEG.data(iC,:)-smoothed;
I should think that checking the dimensions of the right hand side quantities in the debugger would have been your first step.
  1 Comment
kaare
kaare on 19 Feb 2018
As it happens, my first step was to check the size (in bytes) of the ingredients to the offending line. That did not help me, since 'smoothed' was, as expected, a lot smaller than 'EEG'. It is very possible that next time I get this error, I'll remember that implicit expansion is a thing, and that the memory error might not in fact have anything to do with the size of the array.

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Petorr
Petorr on 20 Jun 2022
I would like the debugger to automatically highlight where implicit array expansion is taking place. Is that option available? For example:
Here, A might be 100*1 and B, 1*500 so the highlighting would let me know that these are compatible unequal array sizes and will be implicitly expanded.
  2 Comments
Steven Lord
Steven Lord on 21 Jun 2022
No such option exists. Would you expect this option to always highlight that operation in your code? A might be 100-by-1 and B might be 1-by-500. But they may both be scalars. There are circumstances where a static analysis of the code could prove at parse-time that the operation will perform implicit expansion, but what about this one?
function z = computeProduct(x, y)
z = x.*y;
end
Should the .* in this code be highlighted or not?
Petorr
Petorr on 21 Jun 2022
In this example, it would only be highlighted while debugging within computeProduct, as in putting a breakpoint at the line z=x.*y. It would be comparable to the hover-tip that shows array dimensions. I use that often, even though it depends on the program state. I see how it might seem a little inconsistent since all other highlighting is based on static parsing, but some variation of it might be worth considering. If I get so good with the implicit sizing that I never need this feature, I'll be sure to come back and comment ; )

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Rav
Rav on 25 Mar 2024
Ok, since I use eeglab I managed to trace your screw-up.
EEG.data is sort-of horizontal, but 'smooth' outputs a vertical array.
Actually, the error message also shows what's wrong, look at dimensions. That's not the expansion
Correct debig would be to call "size(smoothed)" and "size(EEG.data)".
Correct solution to your code is this:
deviation=EEG.data(iC,:)-smoothed.';
'smoothed' here is transposed - a difference of 2 symbols
A good coding practice is to run all unfamiliar and failing functions through console by hand and just look at the output - not just console output, but also environment.

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