You are an expert in writing code in many different languages. Your goal is to perform code completion for the following code, keeping in mind the rest of the code and the file meta data.
    Metadata details:
    filename: LorenzCurve_subfunction_PreSorted.m
    path of file: ./repos/VFIToolkit-matlab/Other/subcodes
    
    the code of the file until where you have to start completion: function LorenzCurve=LorenzCurve_subfunction_PreSorted(SortedWeightedValues,CumSumSortedWeights,npoints,Parallel)

% I have considered making this an option to be set but for now is just hardcoded.
% Order to round to avoid numerical error
options.ordertoroundtoavoidnumericalerror=9;

% Calculate the 'age conditional' lorenz curve
% We now want to use interpolation, but this won't work unless all values in CumSumSortedWeights are distinct. So we now remove
% any duplicates (ie. points of zero probability mass/density). We then have to remove the corresponding points of SortedValues. Since we
% are just looking for 100 points to make up our cdf I round all variables to 9 decimal points before checking for uniqueness (Do
% this because otherwise rounding in the ~12th decimal place was causing problems with vector not being sorted as strictly increasing.
CumSumSortedWeights_temp=round(CumSumSortedWeights*10^options.ordertoroundtoavoidnumericalerror);
% Comment:
% round(CumSumSortedWeights,options.ordertoroundtoavoidnumericalerror);
% Works on cpu, but not implemented for GPU as of R2021a (likely better way to do this once Matlab implements it)
[~,UniqueIndex] = unique(CumSumSortedWeights_temp,'first');
CumSumSortedStationaryDistVec_NoDuplicates=CumSumSortedWeights(UniqueIndex);
SortedWeightedValues_NoDuplicates=SortedWeightedValues(UniqueIndex);
CumSumSortedWeightedValues_NoDuplicates=cumsum(SortedWeightedValues_NoDuplicates);
if Parallel==2

    
function LorenzCurve=LorenzCurve_subfunction_PreSorted(SortedWeightedValues,CumSumSortedWeights,npoints,Parallel)

% I have considered making this an option to be set but for now is just hardcoded.
% Order to round to avoid numerical error
options.ordertoroundtoavoidnumericalerror=9;

% Calculate the 'age conditional' lorenz curve
% We now want to use interpolation, but this won't work unless all values in CumSumSortedWeights are distinct. So we now remove
% any duplicates (ie. points of zero probability mass/density). We then have to remove the corresponding points of SortedValues. Since we
% are just looking for 100 points to make up our cdf I round all variables to 9 decimal points before checking for uniqueness (Do
% this because otherwise rounding in the ~12th decimal place was causing problems with vector not being sorted as strictly increasing.
CumSumSortedWeights_temp=round(CumSumSortedWeights*10^options.ordertoroundtoavoidnumericalerror);
% Comment:
% round(CumSumSortedWeights,options.ordertoroundtoavoidnumericalerror);
% Works on cpu, but not implemented for GPU as of R2021a (likely better way to do this once Matlab implements it)
[~,UniqueIndex] = unique(CumSumSortedWeights_temp,'first');
CumSumSortedStationaryDistVec_NoDuplicates=CumSumSortedWeights(UniqueIndex);
SortedWeightedValues_NoDuplicates=SortedWeightedValues(UniqueIndex);
CumSumSortedWeightedValues_NoDuplicates=cumsum(SortedWeightedValues_NoDuplicates);
if Parallel==2
    InverseCDF_xgrid=gpuArray(1/npoints:1/npoints:1);
else
    InverseCDF_xgrid=1/npoints:1/npoints:1;
end