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My impression of the attached Copasi file is that it is running a 2D parameter scan, where you vary one parameter over a certain dimension, and at every step in that process, you also vary another parameter over its whole range. In SED-ML, presumably this would come out as nested repeated tasks.
However, instead, the SED-ML that's produced simply produces a single repeated task with two ranges of unequal lengths. If I'm understanding things correctly, this needs to be fixed.
ARPP-16_Layer1_mutualInhibitions.zip
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