97 lines
3.2 KiB
Matlab
97 lines
3.2 KiB
Matlab
function Model = setup_solvers(Model)
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% Setup solve_algo={12,14} by identifying equations with a log on the left hand side.
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%
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% INPUTS
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% - Model [struct] Model description, aka M_.
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% - Options [struct] Dynare's options, aka options_.
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%
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% OUTPUTS
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% - Model [struct] Updated model description.
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% Copyright © 2020 Dynare Team
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%
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% This file is part of Dynare.
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%
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% Dynare is free software: you can redistribute it and/or modify
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% it under the terms of the GNU General Public License as published by
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% the Free Software Foundation, either version 3 of the License, or
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% (at your option) any later version.
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%
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% Dynare is distributed in the hope that it will be useful,
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% but WITHOUT ANY WARRANTY; without even the implied warranty of
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% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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% GNU General Public License for more details.
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%
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% You should have received a copy of the GNU General Public License
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% along with Dynare. If not, see <https://www.gnu.org/licenses/>.
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cannot_use_solve_algo_12_14 = false;
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try
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json = loadjson_(sprintf('%s/model/json/modfile.json', Model.fname));
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catch
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cannot_use_solve_algo_12_14 = true;
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message = 'Algorithms solve_algo={12,14} require json output of the model (use json=compute option)';
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end
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if ~cannot_use_solve_algo_12_14
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lhs = cell(length(json.model),1);
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isauxdiffloggedrhs = false(length(json.model), 1);
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for i = 1:length(json.model)
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if length(json.model)>1
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lhs{i} = json.model{i}.lhs;
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else
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lhs{i} = json.model.lhs;
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end
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if isempty(regexp(lhs{i}, '^\w+$|^log\(\w+\)$'))
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cannot_use_solve_algo_12_14 = true;
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message = sprintf('With solve_algo={12,14}, each equation must have on the left hand side a single variable or logged variable (equation %d does not satisfy this condition).', i);
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break
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end
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if length(json.model)>1
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rhs = json.model{i}.rhs;
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else
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rhs = json.model.lhs;
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end
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if i>Model.orig_endo_nbr && ~isempty(regexp(lhs{i}, '\<AUX_DIFF_(\d*)\>', 'once')) && ismember(lhs{i}, lhs(1:i-1)) && ...
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~isempty(regexp(rhs, 'log\(\w*\)-log\(\w*\(-1\)\)', 'once'))
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isauxdiffloggedrhs(i) = true;
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end
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end
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end
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if ~cannot_use_solve_algo_12_14
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islog = @(x) ~isempty(regexp(x, 'log\(\w*\)', 'once'));
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lhs0 = lhs;
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for i=1:length(json.model)
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if islog(lhs{i})
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lhs0{i} = strrep(strrep(lhs{i}, 'log(', ''), ')', '');
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end
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end
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if ~isequal(length(unique(lhs0(1:Model.orig_endo_nbr))), length(lhs0(1:Model.orig_endo_nbr)))
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cannot_use_solve_algo_12_14 = true;
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message = sprintf('With solve_algo={12,14}, each equation must determine a different endogenous variable.')
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end
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end
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if cannot_use_solve_algo_12_14
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Model.isloggedlhs = {};
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Model.lhs = {};
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Model.isauxdiffloggedrhs = [];
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Model.possible_to_use_solve_algo_12_14 = false;
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Model.message_solve_algo_12_14 = message;
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else
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Model.isloggedlhs = cellfun(islog, lhs);
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Model.lhs = lhs;
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Model.isauxdiffloggedrhs = isauxdiffloggedrhs;
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Model.possible_to_use_solve_algo_12_14 = true;
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Model.message_solve_algo_12_14 = '';
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end |