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: modefilt1.m
    path of file: ./repos/MCITF/Code/MCITF/EdgeBox/piotr_toolbox/toolbox/filters
    
    the code of the file until where you have to start completion: function y = modefilt1( x, s )
% One-dimensional mode filtering.
%
% Applies a width s one-dimensional mode filter to vector x. That is each
% element of the output y(j) corresponds to the mode of x(j-r:j+r), where
% r~s/2. At boundary regions, y is calculated on smaller windows, for
% example y(1) is calculated over x(1:1+r).  Note that for this function to
% make sense x should take on only a small number of discrete values
% (running time is actually proportional to number of unique values of x).
% This function is modeled after medfilt1, which is part of Matlab's
% 'Signal Processing Toolbox'.
%
% USAGE
%  y = modefilt1( x, s )
%
% INPUTS
%  x   - length n vector
%  s   - filter size
%
% OUTPUTS
%  y   - filtered vector x

    
function y = modefilt1( x, s )
% One-dimensional mode filtering.
%
% Applies a width s one-dimensional mode filter to vector x. That is each
% element of the output y(j) corresponds to the mode of x(j-r:j+r), where
% r~s/2. At boundary regions, y is calculated on smaller windows, for
% example y(1) is calculated over x(1:1+r).  Note that for this function to
% make sense x should take on only a small number of discrete values
% (running time is actually proportional to number of unique values of x).
% This function is modeled after medfilt1, which is part of Matlab's
% 'Signal Processing Toolbox'.
%
% USAGE
%  y = modefilt1( x, s )
%
% INPUTS
%  x   - length n vector
%  s   - filter size
%
% OUTPUTS
%  y   - filtered vector x
%
% EXAMPLE
%  x=[0 1 0 0 0 3 0 1 3 1 2 2 0 1]; s=3;
%  xmedian = medfilt1( x, s ); % may not be available
%  xmode = modefilt1( x, s );
%  [x; xmedian; xmode]
%
% See also MEDFILT1
%
% Piotr's Computer Vision Matlab Toolbox      Version 2.35
% Copyright 2014 Piotr Dollar.  [pdollar-at-gmail.com]
% Licensed under the Simplified BSD License [see external/bsd.txt]

% get unique values in x
[vals,~,inds]=unique(x(:)'); m=length(vals); n=length(x);
if(m>256), warning('x takes on large number of diff vals'); end