function write(DynareModel)

% Writes the nonlinear problem to be solved for computing the growth
% rates and levels along the Balanced Growth Path. Note that for
% the variables growing along the BGP, the identified levels are
% meaningless, only the relative levels of the growing variables
% sharing the same trend(s) are relevant.
%
% INPUTS
% - DynareModel     [struct]   Dynare generated stucture describing the model (M_).
%
% OUTPUTS
% None
%
% REMARKS
% - The trends are assumed to be multiplicative.

% Copyright (C) 2019 Dynare Team
%
% This file is part of Dynare.
%
% Dynare is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% (at your option) any later version.
%
% Dynare is distributed in the hope that it will be useful,
% but WITHOUT ANY WARRANTY; without even the implied warranty of
% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
% GNU General Public License for more details.
%
% You should have received a copy of the GNU General Public License
% along with Dynare.  If not, see <http://www.gnu.org/licenses/>.

if DynareModel.maximum_lag  && ~DynareModel.maximum_lead
    i0 = transpose(DynareModel.lead_lag_incidence(1,:)); % Indices of the lagged variables.
    i1 = transpose(DynareModel.lead_lag_incidence(2,:)); % Indices of the current variables.
    i2 = [];                                             % Indices of the leaded variables.
elseif DynareModel.maximum_lag  && DynareModel.maximum_lead
    i0 = transpose(DynareModel.lead_lag_incidence(1,:)); % Indices of the lagged variables.
    i1 = transpose(DynareModel.lead_lag_incidence(2,:)); % Indices of the current variables.
    i2 = transpose(DynareModel.lead_lag_incidence(3,:)); % Indices of the leaded variables.
elseif ~DynareModel.maximum_lag  && DynareModel.maximum_lead
    i0 = [];                                             % Indices of the lagged variables.
    i1 = transpose(DynareModel.lead_lag_incidence(1,:)); % Indices of the current variables.
    i2 = transpose(DynareModel.lead_lag_incidence(2,:)); % Indices of the leaded variables.
else
    error('The model is static. The BGP is trivial.')
end

n0 = length(find(i0)); % Number of lagged variables.
n1 = length(find(i1)); % Number of current variables.
n2 = length(find(i2)); % Number of leaded variables.

purely_backward_model = logical(n0 && n1 && ~n2);
purely_forward_model = logical(~n0 && n1 && n2);

if purely_backward_model
    I0 = i0;
    I1 = i1;
    I2 = [];
elseif purely_forward_model
    I0 = i1;
    I1 = i2;
    I2 = [];
else
    % Model has both leads and lags.
    I0 = i0;
    I1 = i1;
    I2 = i2;
end

% Create function in mod namespace.
fid = fopen(sprintf('+%s/bgpfun.m', DynareModel.fname), 'w');

% Write header. 
fprintf(fid, 'function [F, JAC] = bgpfun(z)\n\n');
fprintf(fid, '%% This file has been generated by dynare (%s).\n\n', datestr(now));

% The function admits a unique vector as input argument. The first
% half of the elements are for the levels of the endogenous
% variables, the second half for the growth factors. 
fprintf(fid, 'y = z(1:%u);\n\n', DynareModel.endo_nbr);
fprintf(fid, 'g = z(%u:%u);\n', DynareModel.endo_nbr+1, 2*DynareModel.endo_nbr);

% Define the point where the dynamic model is to be evaluated.
fprintf(fid, 'Y = zeros(%u, 1);\n', 2*(n0+n1+n2));
for i=1:length(I0) % period t equations, lagged variables.
    if I0(i)
        fprintf(fid, 'Y(%u) = y(%u);\n', I0(i), i);
    end
end
for i=1:length(I1) % period t equations, current variables.
    if I1(i)
        fprintf(fid, 'Y(%u) = y(%u)*g(%u);\n', I1(i), i, i);
    end
end
for i=1:length(I2) % period t equations, leaded variables.
    if I2(i)
        fprintf(fid, 'Y(%u) = y(%u)*g(%u)*g(%u);\n', I2(i), i, i, i);
    end
end
for i=1:length(I0) % period t+1 equations lagged variables.
    if I0(i)
        fprintf(fid, 'Y(%u) = y(%u)*g(%u);\n', n0+n1+n2+I0(i), i, i);
    end
end
for i=1:length(I1) % period t+1 equations current variables.
    if I1(i)
        fprintf(fid, 'Y(%u) = y(%u)*g(%u)*g(%u);\n', n0+n1+n2+I1(i), i, i, i);
    end
end
for i=1:length(I2) % period t+1 equations leaded variables.
    if I2(i)
        fprintf(fid, 'Y(%u) = y(%u)*g(%u)*g(%u)*g(%u);\n', n0+n1+n2+I2(i), i, i, i, i);
    end
end
fprintf(fid, '\n');

% Define the vector of parameters.
fprintf(fid, 'p = zeros(%u, 1);\n', DynareModel.param_nbr);
for i = 1:DynareModel.param_nbr
    fprintf(fid, 'p(%u) = %16.12f;\n', i, DynareModel.params(i));
end
fprintf(fid, '\n');

% Initialize the vector holding the residuals over the two periods.
fprintf(fid, 'F = NaN(%u, 1);\n', 2*DynareModel.endo_nbr);

% Set vector of exogenous variables to 0.
fprintf(fid, 'x = zeros(1, %u);\n\n', DynareModel.exo_nbr);

% Evaluate the residuals and jacobian of the dynamic model in periods t and t+1.
fprintf(fid, 'if nargout>1\n');
fprintf(fid, '    J = zeros(%u, %u);\n', 2*DynareModel.endo_nbr, n0+n1+n2+DynareModel.endo_nbr);
fprintf(fid, '    [F(1:%u), tmp] = %s.dynamic(Y(1:%u), x, p, y, 1);\n', DynareModel.endo_nbr, DynareModel.fname, n0+n1+n2);
fprintf(fid, '    J(1:%u,1:%u) = tmp(:,1:%u);\n', DynareModel.endo_nbr, n0+n1+n2, n0+n1+n2);
fprintf(fid, '    [F(%u:%u), tmp] = %s.dynamic(Y(1+%u:%u), x, p, y, 1);\n', DynareModel.endo_nbr+1, 2*DynareModel.endo_nbr, DynareModel.fname, n0+n1+n2, 2*(n0+n1+n2));
fprintf(fid, '    J(%u:%u,1:%u) = tmp(:,1:%u);\n', DynareModel.endo_nbr+1, 2*DynareModel.endo_nbr, n0+n1+n2, n0+n1+n2);
fprintf(fid, 'else\n');
fprintf(fid, '    F(1:%u) = %s.dynamic(Y(1:%u), x, p, y, 1);\n', DynareModel.endo_nbr, DynareModel.fname, n0+n1+n2);
fprintf(fid, '    F(%u:%u) = %s.dynamic(Y(1+%u:%u), x, p, y, 1);\n', DynareModel.endo_nbr+1, 2*DynareModel.endo_nbr, DynareModel.fname, n0+n1+n2, 2*(n0+n1+n2));
fprintf(fid, 'end\n\n');

% Compute the jacobian if required.
fprintf(fid, 'if nargout>1\n');
fprintf(fid, '    JAC = zeros(%u,%u);\n', 2*DynareModel.endo_nbr, 2*DynareModel.endo_nbr);

% Compute the derivatives of the first block of equations (period t)
% with respect to the endogenous variables.
if purely_backward_model || purely_forward_model
    for i=1:DynareModel.eq_nbr
        for j=1:DynareModel.endo_nbr
            if I1(j)
                if I0(j)
                    fprintf(fid, '    JAC(%u,%u) = J(%u,%u)+J(%u,%u)*g(%u);\n', i, j, i, I0(j), i, I1(j), j);
                else
                    fprintf(fid, '    JAC(%u,%u) = J(%u,%u)*g(%u);\n', i, j, i, I1(j), j);
                end
            else
                if I0(j)
                    fprintf(fid, '    JAC(%u,%u) = J(%u,%u);\n', i, j, i, I0(j));
                end
            end
        end
    end
else
    for i=1:DynareModel.eq_nbr
        for j=1:DynareModel.endo_nbr
            if I2(j)
                if I1(j)
                    if I0(j)
                        fprintf(fid, '    JAC(%u,%u) = J(%u,%u)+J(%u,%u)*g(%u)+J(%u,%u)*g(%u)*g(%u);\n', i, j, i, I0(j), i, I1(j), j, i, I2(j), j, j);
                    else
                        fprintf(fid, '    JAC(%u,%u) = J(%u,%u)*g(%u)+J(%u,%u)*g(%u)*g(%u);\n', i, j, i, I1(j), j, i, I2(j), j, j);
                    end
                else
                    if I0(j)
                        fprintf(fid, '    JAC(%u,%u) = J(%u,%u)+J(%u,%u)*g(%u)*g(%u);\n', i, j, i, I0(j), i, I2(j), j, j);
                    else
                        fprintf(fid, '    JAC(%u,%u) = J(%u,%u)*g(%u)*g(%u);\n', i, j, i, I2(j), j, j);
                    end
                end
            else
                if I1(j)
                    if I0(j)
                        fprintf(fid, '    JAC(%u,%u) = J(%u,%u)+J(%u,%u)*g(%u);\n', i, j, i, I0(j), i, I1(j), j);
                    else
                        fprintf(fid, '    JAC(%u,%u) = J(%u,%u)*g(%u);\n', i, j, i, I1(j), j);
                    end
                else
                    if I0(j)
                        fprintf(fid, '    JAC(%u,%u) = J(%u,%u);\n', i, j, i, I0(j));
                    end
                end
            end
        end
    end
end

% Compute the derivatives of the second block of equations (period t+1)
% with respect to the endogenous variables.
if purely_backward_model || purely_forward_model
    for i=DynareModel.eq_nbr+1:2*DynareModel.eq_nbr
        for j=1:DynareModel.endo_nbr
            if I1(j)
                if I0(j)
                    fprintf(fid, '    JAC(%u,%u) = J(%u,%u)*g(%u)+J(%u,%u)*g(%u)*g(%u);\n', i, j, i, I0(j), j, i, I1(j), j, j);
                else
                    fprintf(fid, '    JAC(%u,%u) = J(%u,%u)*g(%u)*g(%u);\n', i, j, i, I1(j), j, j);
                end
            else
                if I0(j)
                    fprintf(fid, '    JAC(%u, %u) = J(%u, %u)*g(%u);\n', i, j, i, I0(j), j);
                end
            end
        end
    end
else
    for i=DynareModel.eq_nbr+1:2*DynareModel.eq_nbr
        for j=1:DynareModel.endo_nbr
            if I2(j)
               if I1(j)
                   if I0(j)
                       fprintf(fid, '    JAC(%u,%u) = J(%u,%u)*g(%u)+J(%u,%u)*g(%u)*g(%u)+J(%u,%u)*g(%u)*g(%u)*g(%u);\n', i, j, i, I0(j), j, i, I1(j), j, j, i, I2(j), j, j, j);
                   else
                       fprintf(fid, '    JAC(%u,%u) = J(%u,%u)*g(%u)*g(%u)+J(%u,%u)*g(%u)*g(%u)*g(%u);\n', i, j, i, I1(j), j, j, i, I2(j), j, j, j);
                   end
               else
                   if I0(j)
                       fprintf(fid, '    JAC(%u,%u) = J(%u,%u)*g(%u)+J(%u,%u)*g(%u)*g(%u)*g(%u);\n', i, j, i, I0(j), j, i, I2(j), j, j, j);
                   else
                       fprintf(fid, '    JAC(%u,%u) = J(%u,%u)*g(%u)*g(%u)*g(%u);\n', i, j, i, I2(j), j, j, j);
                   end
               end
            else
                if I1(j)
                    if I0(j)
                        fprintf(fid, '    JAC(%u,%u) = J(%u,%u)*g(%u)+J(%u,%u)*g(%u)*g(%u);\n', i, j, i, I0(j), j, i, I1(j), j, j);
                    else
                        fprintf(fid, '    JAC(%u,%u) = J(%u,%u)*g(%u)*g(%u);\n', i, j, i, I1(j), j, j);
                    end
                else
                    if I0(j)
                        fprintf(fid, '    JAC(%u, %u) = J(%u, %u)*g(%u);\n', i, j, i, I0(j), j);
                    end
                end
            end
        end
    end
end

% Compute the derivatives of the first block of equations (period t)
% with respect to the growth factors.
if purely_backward_model || purely_forward_model
    for i=1:DynareModel.eq_nbr
        for j=1:DynareModel.endo_nbr
            if I1(j)
                fprintf(fid, '    J(%u,%u) = J(%u,%u)*y(%u);\n', i, n0+n1+n2+j, i, I1(j), j);
            end
        end
    end
else
    for i=1:DynareModel.eq_nbr
        for j=1:DynareModel.endo_nbr
            if I2(j)
                if I1(j)
                    fprintf(fid, '    J(%u,%u) = J(%u,%u)*y(%u)+J(%u,%u)*2*g(%u)*y(%u);\n', i, n0+n1+n2+j, i, I1(j), j, i, I2(j), j, j);
                else
                    fprintf(fid, '    J(%u,%u) = J(%u,%u)*2*g(%u)*y(%u);\n', i, n0+n1+n2+j, i, I2(j), j, j);
                end
            else
                if I1(j)
                    fprintf(fid, '    J(%u,%u) = J(%u,%u)*y(%u);\n', i, n0+n1+n2+j, i, I1(j), j);
                end
            end
        end
    end
end

% Compute the derivatives of the second block of equations (period t+1)
% with respect to the endogenous variables.
if purely_backward_model || purely_forward_model
    for i=DynareModel.eq_nbr+1:2*DynareModel.eq_nbr
        for j=1:DynareModel.endo_nbr
            if I0(j)
                fprintf(fid, '    J(%u,%u) = J(%u,%u)+J(%u,%u)*y(%u);\n', i, n0+n1+n2+j, i, n0+n1+n2+j, i, I0(j), j);
            end
            if I1(j)
                fprintf(fid, '    J(%u,%u) = J(%u,%u)+2*J(%u,%u)*y(%u)*g(%u);\n', i, n0+n1+n2+j, i, n0+n1+n2+j, i, I1(j), j, j);
            end
        end
    end
else
    for i=DynareModel.eq_nbr+1:2*DynareModel.eq_nbr
        for j=1:DynareModel.endo_nbr
            if I2(j)
                if I1(j)
                    if I0(j)
                        fprintf(fid, '    J(%u,%u) = J(%u,%u)*y(%u)+2*J(%u,%u)*y(%u)*g(%u)+3*J(%u,%u)*y(%u)*g(%u)*g(%u);\n', i, n0+n1+n2+j, i, I0(j), j, i, I1(j), j, j, i, I2(j), j, j, j);
                    else
                        fprintf(fid, '    J(%u,%u) = 2*J(%u,%u)*y(%u)*g(%u)+3*J(%u,%u)*y(%u)*g(%u)*g(%u);\n', i, n0+n1+n2+j, i, I1(j), j, j, i, I2(j), j, j, j);
                    end
                else
                    if I0(j)
                        fprintf(fid, '    J(%u,%u) = J(%u,%u)*y(%u)+3*J(%u,%u)*y(%u)*g(%u)*g(%u);\n', i, n0+n1+n2+j, i, I0(j), j, i, I2(j), j, j, j);
                    else
                        fprintf(fid, '    J(%u,%u) = 3*J(%u,%u)*y(%u)*g(%u)*g(%u);\n', i, n0+n1+n2+j, i, I2(j), j, j, j);
                    end
                end
            else
                if I1(j)
                    if I0(j)
                        fprintf(fid, '    J(%u,%u) = J(%u,%u)*y(%u)+2*J(%u,%u)*y(%u)*g(%u);\n', i, n0+n1+n2+j, i, I0(j), j, i, I1(j), j, j);
                    else
                        fprintf(fid, '    J(%u,%u) = 2*J(%u,%u)*y(%u)*g(%u);\n', i, n0+n1+n2+j, i, I1(j), j, j);
                    end
                else
                    if I0(j)
                        fprintf(fid, '    J(%u,%u) = J(%u,%u)*y(%u);\n', i, n0+n1+n2+j, i, I0(j), j);
                    end
                end
            end
        end
    end
end

fprintf(fid, '    JAC(:,%u:%u) = J(:,%u:%u);\n', DynareModel.endo_nbr+1, 2*DynareModel.endo_nbr, n0+n1+n2+1, n0+n1+n2+DynareModel.endo_nbr);

fprintf(fid,'end\n');
fclose(fid);