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0c0a4be | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 | function [indx1,indx2] = getGroupedModelIndexCheck(vector1D,Np,isItForCooling)
% Copyright 2020-2026 The MathWorks, Inc.
val1=max(vector1D);
res1=find(val1==vector1D);
trackCellNum1=res1(1);
val2=min(vector1D);
res2=find(val2==vector1D);
trackCellNum2=res2(end);
indx1=min(trackCellNum1,trackCellNum2);
indx2=max(trackCellNum1,trackCellNum2);
% Check is Grouped Model contraint is satisfied, else choose new
% data or index
testGap=indx2-indx1-2*Np;
isDataVarPresent=sum(abs(diff(vector1D)));
%
if testGap<0 && isDataVarPresent>0 && isItForCooling==1
% Enter this loop only for LUT based cooling (isItForCooling==1)
% Need to re-work indx1 and indx2 if (testGap<0 && isDataVarPresent>0)
vector1D_ascending=sort(vector1D);
loopSize=max(size(vector1D));
indxFound=0;
indx1_try=indx1;
indx2_try=indx2;
for i = 2:loopSize
if indxFound==0
val_minIndx=find(vector1D_ascending(i)==vector1D);
val_maxIndx=find(vector1D_ascending(loopSize)==vector1D);
indx1_try=min(val_minIndx(end),val_maxIndx(1));
indx2_try=max(val_minIndx(end),val_maxIndx(1));
indxFound=(indx2_try-indx1_try-2*Np>0);
end
end
indx1=indx1_try;
indx2=indx2_try;
end
end
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