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: SDC7.m
    path of file: ./repos/PlatEMO/PlatEMO/Problems/Multi-objective optimization/SDC
    
    the code of the file until where you have to start completion: classdef SDC7 < PROBLEM
% <multi> <real> <constrained>
% Scalable high-dimensional decicsion constraint benchamrk

%------------------------------- Reference --------------------------------
% K. Qiao, J. Liang, K. Yu, C. Yue, H. Lin, D. Zhang, and B. Qu,
% Evolutionary constrained multiobjective optimization: scalable
% high-dimensional constraint benchmarks and algorithm, IEEE Transactions
% on Evolutionary Computation, 2023.
%------------------------------- Copyright --------------------------------
% Copyright (c) 2023 BIMK Group. You are free to use the PlatEMO for
% research purposes. All publications which use this platform or any code
% in the platform should acknowledge the use of "PlatEMO" and reference "Ye
% Tian, Ran Cheng, Xingyi Zhang, and Yaochu Jin, PlatEMO: A MATLAB platform
% for evolutionary multi-objective optimization [educational forum], IEEE
% Computational Intelligence Magazine, 2017, 12(4): 73-87".
%--------------------------------------------------------------------------

% This function is written by Kangjia Qiao (email: qiaokangjia@yeah.net)

    properties
        THETA_;  
        a; 
        CEC_Problem;        % index of high-dimension constraint function
        Distance_problem;   % index of distance function
        HCT;                % rate of unconstrained distance function variables that are used for high-dimensional constraint function
        HCT_type;           % type of transformation function
        DCT;                % rate of unconstrained distance function variables that are used for variable linkage
        DCT_type;           % type of variable linkage function
        Shape_problem;      % tyep of shape function
        b;                  % a parameter of shape function that is used to control the overl
    
function is written by Kangjia Qiao (email: qiaokangjia@yeah.net)

    properties
        THETA_;  
        a; 
        CEC_Problem;        % index of high-dimension constraint function
        Distance_problem;   % index of distance function
        HCT;                % rate of unconstrained distance function variables that are used for high-dimensional constraint function
        HCT_type;           % type of transformation function
        DCT;                % rate of unconstrained distance function variables that are used for variable linkage
        DCT_type;           % type of variable linkage function
        Shape_problem;      % tyep of shape function
        b;                  % a parameter of shape function that is used to control the overlap degree between CPF and UPF
        lu;                 % upper and lower bounds of high-dimensional constraint function
        high_D_C;           % dimensions of high-dimensional constraint function
        aaa;                % used for high-dimensional constraint function
        optial_f;           % optimal objective value of high-dimensional constraints
        q1_upper;           % upper bound of shape function
        q1_lower;           % lower bound of shape function
        h;                  % objective function value of high-dimensional constraint function
        HC;                 % constraint function value of high-dimensional constraint function
        max_D_con;          % maximal number of variables that are used for transformation operator
    end
    methods
        %% Initialization
        function Setting(obj)
            obj.M = 2;
            if isempty(obj.D); obj.D = 30; end
            
            obj.lower    = zeros(1,obj.D);
            obj.upper    = ones(1,obj.D);
            obj.encoding = ones(1,obj.D);
            
            obj.a = information(7);  % 7 indicates the index of problem
            obj.CEC_Problem = obj.a(1); 
            obj.Distance_problem = obj.a(2); 
            obj.HCT = obj.a(3);
            obj.HCT_type = obj.a(4); 
            obj.DCT = obj.a(5); 
            obj.DCT_type = obj.a(6); 
            obj.Shape_problem = obj.a(7); 
            obj.b = obj.a(8);

           [obj.lu,obj.high_D_C,obj.aaa,obj.optial_f]=CEC_2006_information(obj.CEC_Problem);  
           obj.max_D_con = obj.high_D_C + ceil((obj.D-obj.M-obj.high_D_C)*obj.HCT); 
           if obj.Shape_problem==1
               obj.q1_upper = [4,4];
               obj.q1_lower = [0,0];
           elseif obj.Shape_problem==2
               obj.q1_upper = [2,2];
               obj.q1_lower = [0,0];
           end