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    Metadata details:
    filename: runSampler.m
    path of file: ./repos/paramonte/src/interface/MATLAB/paramonte/interface/@ParaDRAM
    
    the code of the file until where you have to start completion: %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%%%%   MIT License
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%%%%   ParaMonte: plain powerful parallel Monte Carlo library.
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%%%%   Copyright (C) 2012-present, The Computational Data Science Lab
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%%%%   This file is part of the ParaMonte library.
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%%
    
function getLogFunc().
%           It must be a positive integer.
%
%       getLogFunc()
%
%           represents the user's objective function to be sampled,
%           which must take a single input argument of type numpy
%           float64 array of length ndim and must return the
%           natural logarithm of the objective function.
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%       varargin
%
%           Any extra parameters that will be directly passed to the
%           runSampler() method fo the ParaMonteSampler class.
%
%   Returns
%   -------
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%       None
%
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function runSampler(self,ndim,getLogFunc,varargin)
    self.objectName = inputname(1);
    runSampler@ParaMonteSampler(self,ndim,getLogFunc,varargin{:})
end