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: eliminateZeroRows.m
    path of file: ./repos/linear-programming-using-MATLAB/codes/chapter4
    
    the code of the file until where you have to start completion: function [A, b, Eqin, infeasible] = ... 
    eliminateZeroRows(A, b, Eqin)
% Filename: eliminateZeroRows.m
% Description: the function is an implementation of the 
% presolve method that eliminates zero rows
% Authors: Ploskas, N., & Samaras, N.
%
% Syntax: [A, b, Eqin, infeasible] = ...
%   eliminateZeroRows(A, b, Eqin)
% 
% Input:
% -- A: matrix of coefficients of the constraints 
%    (size m x n)
% -- b: vector of the right-hand side of the constraints 
%    (size m x 1)
% -- Eqin: vector of the type of the constraints 
%    (size m x 1)
%
% Output:
% -- A: presolved matrix of coefficients of the constraints 
%    (size m x n)
% -- b: presolved vector of the right-hand side of the 
%    constraints (size m x 1)
% -- Eqin: presolved vector of the type of the constraints 
%    (size m x 1)
% -- infeasible: flag variable showing if the LP is 
%    infeasible or not
 
infeasible = 0;
% compute the number of nonzero elements in each row
delrows = sum(spones(A')); 
% if any row has all its element equal to zero

    
function [A, b, Eqin, infeasible] = ... 
    eliminateZeroRows(A, b, Eqin)
% Filename: eliminateZeroRows.m
% Description: the function is an implementation of the 
% presolve method that eliminates zero rows
% Authors: Ploskas, N., & Samaras, N.
%
% Syntax: [A, b, Eqin, infeasible] = ...
%   eliminateZeroRows(A, b, Eqin)
% 
% Input:
% -- A: matrix of coefficients of the constraints 
%    (size m x n)
% -- b: vector of the right-hand side of the constraints 
%    (size m x 1)
% -- Eqin: vector of the type of the constraints 
%    (size m x 1)
%
% Output:
% -- A: presolved matrix of coefficients of the constraints 
%    (size m x n)
% -- b: presolved vector of the right-hand side of the 
%    constraints (size m x 1)
% -- Eqin: presolved vector of the type of the constraints 
%    (size m x 1)
% -- infeasible: flag variable showing if the LP is 
%    infeasible or not
 
infeasible = 0;
% compute the number of nonzero elements in each row
delrows = sum(spones(A')); 
% if any row has all its element equal to zero
if any(delrows == 0)
	% get the indices of all rows that have all their 
	% elements equal to zero
	id = int16(find(delrows == 0));
	% check if the LP problem is infeasible (Case 2)
	k = int16(find(Eqin(id) == -1));
	if any(b(id(k)) < 0) && ~isempty(k)
		infeasible = 1;
		return;
	else
		% check if the LP problem is infeasible (Case 4)
		k = int16(find(Eqin(id) == 1));
        if any(b(id(k)) > 0) && ~isempty(k)
			infeasible = 1;
			return;
		else
			% check if the LP problem is infeasible (Case 6)
			k = int16(find(Eqin(id) == 0)); 
            if any(b(id(k)) ~= 0) && ~isempty(k)
				infeasible = 1;
				return;
            end