After looking at the problem encountered here, it turns out that LabVIEW seems to make some insane choices when mixing a waveform with simple datatypes. Some behavior is good and intuitive. For example multiplying a waveform with a scalar applies the multiplication to the Y component only, because it would not make sense to e.g. also multiply the t0 or dt values.
It is less clear what should happen if multiplying a waveform with an array. Intuitively, one would expect something similar to the above, where the Y component is multiplied with the array. Unfortunately, LabVIEW chooses something else: It creates a huge array of waveforms, one for each element in the array. (as if wrapping a FOR loop around it, see image). If the waveform and the array both have thousands of elements, we can easily blow the lid off all available memory as in the quoted case. Pop! 😄 But the code looks so innocent!
I suggest that operations mixing waveform and simple datatypes (scalars, arrays) simply act on the Y component as shown.
(not sure how much existing code this would break, but it actually might fix some existing code!!! :D)
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