Add try/catch block (cherry-picking failures).
Close and delete generated file if cherry picking fails for any reason.pac-components
parent
ec3127a0ba
commit
d3678edbbe
GPG Key ID:
295C1FE89E17EB3C
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@ -73,134 +73,143 @@ plist = {};
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elist = {};
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xlist = {};
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for i=1:length(eqtags)
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rhs = [];
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lhs = [];
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% Get equation number.
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eqnum = get_equation_number_by_tag(eqtags{i}, M_);
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% Get the original equation.
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[LHS, RHS] = get_lhs_and_rhs(eqtags{i}, M_, true, json);
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% Get the parameters, endogenous and exogenous variables in the current equation.
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[pnames, ~, xnames] = get_variables_and_parameters_in_equation(LHS, RHS, M_);
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lhs_expression = LHS;
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LHS = get_variables_and_parameters_in_expression(LHS);
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enames = LHS;
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if length(LHS)>1
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error('Expressions with more than one variable on the LHS are not allowed.')
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end
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LHS = LHS{1};
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if isrename
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[variable_has_to_be_renamed, id] = ismember(eqnum, [rename{:,1}]);
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if variable_has_to_be_renamed
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TMP = strsplit(rename{id,2}, ',');
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for j=1:length(TMP)
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tmp = strsplit(TMP{j}, '->');
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lhs_expression = exactstrrep(lhs_expression, tmp{1}, tmp{2});
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RHS = exactstrrep(RHS, tmp{1}, tmp{2});
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rep = strcmp(tmp{1}, enames);
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if any(rep)
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enames(rep) = tmp(2);
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end
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rep = strcmp(tmp{1}, xnames);
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if any(rep)
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xnames(rep) = tmp(2);
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try
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for i=1:length(eqtags)
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rhs = [];
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lhs = [];
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% Get equation number.
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eqnum = get_equation_number_by_tag(eqtags{i}, M_);
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% Get the original equation.
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[LHS, RHS] = get_lhs_and_rhs(eqtags{i}, M_, true, json);
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% Get the parameters, endogenous and exogenous variables in the current equation.
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[pnames, ~, xnames] = get_variables_and_parameters_in_equation(LHS, RHS, M_);
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lhs_expression = LHS;
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LHS = get_variables_and_parameters_in_expression(LHS);
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enames = LHS;
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if length(LHS)>1
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error('Expressions with more than one variable on the LHS are not allowed.')
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end
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LHS = LHS{1};
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if isrename
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[variable_has_to_be_renamed, id] = ismember(eqnum, [rename{:,1}]);
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if variable_has_to_be_renamed
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TMP = strsplit(rename{id,2}, ',');
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for j=1:length(TMP)
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tmp = strsplit(TMP{j}, '->');
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lhs_expression = exactstrrep(lhs_expression, tmp{1}, tmp{2});
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RHS = exactstrrep(RHS, tmp{1}, tmp{2});
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rep = strcmp(tmp{1}, enames);
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if any(rep)
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enames(rep) = tmp(2);
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end
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rep = strcmp(tmp{1}, xnames);
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if any(rep)
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xnames(rep) = tmp(2);
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end
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end
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end
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end
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end
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% Remove residual from equation if required.
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if noresids
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exogenous_variables_to_be_removed = ~ismember(xnames, M_.simulation_exo_names);
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if any(exogenous_variables_to_be_removed)
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switch sum(exogenous_variables_to_be_removed)
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case 1
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RHS = regexprep(RHS, sprintf('\\ *\\+\\ *%s', xnames{exogenous_variables_to_be_removed}), '');
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RHS = regexprep(RHS, sprintf('%s', xnames{exogenous_variables_to_be_removed}), '');
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case 0
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% Nothing to do.
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otherwise
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error('Cannot remove more than one exogenous variable in an equation (%s).', eqtags{i})
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% Remove residual from equation if required.
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if noresids
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exogenous_variables_to_be_removed = ~ismember(xnames, M_.simulation_exo_names);
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if any(exogenous_variables_to_be_removed)
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switch sum(exogenous_variables_to_be_removed)
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case 1
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RHS = regexprep(RHS, sprintf('\\ *\\+\\ *%s', xnames{exogenous_variables_to_be_removed}), '');
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RHS = regexprep(RHS, sprintf('%s', xnames{exogenous_variables_to_be_removed}), '');
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case 0
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% Nothing to do.
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otherwise
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error('Cannot remove more than one exogenous variable in an equation (%s).', eqtags{i})
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end
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xnames = setdiff(xnames, xnames{exogenous_variables_to_be_removed});
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end
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xnames = setdiff(xnames, xnames{exogenous_variables_to_be_removed});
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end
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end
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% Unroll expectation terms if any.
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isvar = regexp(RHS, 'var_expectation\(model_name = (?<name>\w+)\)', 'names');
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ispac = regexp(RHS, 'pac_expectation\(model_name = (?<name>\w+)\)', 'names');
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if ~isempty(isvar)
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rhs = write_expectations(eqtags{i}, isvar.name, 'var');
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lhs = sprintf('%s_VE', eqtags{i});
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RHS = strrep(RHS, sprintf('var_expectation(model_name = %s)', isvar.name), lhs);
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end
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if ~isempty(ispac)
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[rhs, growthneutralitycorrection] = write_expectations(eqtags{i}, ispac.name, 'pac');
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lhs = sprintf('%s_PE', eqtags{i});
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RHS = strrep(RHS, sprintf('pac_expectation(model_name = %s)', ispac.name), lhs);
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if ~isempty(growthneutralitycorrection)
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RHS = sprintf('%s + %s', RHS, growthneutralitycorrection);
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% Unroll expectation terms if any.
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isvar = regexp(RHS, 'var_expectation\(model_name = (?<name>\w+)\)', 'names');
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ispac = regexp(RHS, 'pac_expectation\(model_name = (?<name>\w+)\)', 'names');
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if ~isempty(isvar)
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rhs = write_expectations(eqtags{i}, isvar.name, 'var');
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lhs = sprintf('%s_VE', eqtags{i});
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RHS = strrep(RHS, sprintf('var_expectation(model_name = %s)', isvar.name), lhs);
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end
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end
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% Print equation for unrolled PAC/VAR-expectation and update
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% list of parameters and endogenous variables (if any).
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if ~isempty(rhs)
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% Note that the call to get_variables_and_parameters_in_equation()
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% will not return the lhs variable in expectation_enames since
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% the name is created on the fly and is not a member of M_.endo_names.
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expectation_pnames = get_variables_and_parameters_in_equation('', rhs, M_);
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expectation_enames = get_variables_and_parameters_in_expression(lhs);
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expectation_xnames = get_variables_and_parameters_in_expression(rhs);
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pnames = union(pnames, expectation_pnames);
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xnames = union(xnames, setdiff(expectation_xnames, expectation_pnames));
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enames = union(enames, expectation_enames);
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fprintf(fid, '[name=''%s'']\n', lhs);
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fprintf(fid, '%s = %s;\n\n', lhs, rhs);
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else
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pRHS = get_variables_and_parameters_in_equation('', RHS, M_);
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xRHS = get_variables_and_parameters_in_expression(RHS);
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xnames = union(xnames, setdiff(xRHS, pRHS));
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pnames = union(pnames, pRHS);
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end
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% Update pnames, enames and xnames if PAC with growth neutrality correction.
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if ~isempty(ispac) && ~isempty(growthneutralitycorrection)
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[growthneutralitycorrection_pnames, ...
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if ~isempty(ispac)
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[rhs, growthneutralitycorrection] = write_expectations(eqtags{i}, ispac.name, 'pac');
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lhs = sprintf('%s_PE', eqtags{i});
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RHS = strrep(RHS, sprintf('pac_expectation(model_name = %s)', ispac.name), lhs);
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if ~isempty(growthneutralitycorrection)
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RHS = sprintf('%s + %s', RHS, growthneutralitycorrection);
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end
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end
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% Print equation for unrolled PAC/VAR-expectation and update
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% list of parameters and endogenous variables (if any).
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if ~isempty(rhs)
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% Note that the call to get_variables_and_parameters_in_equation()
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% will not return the lhs variable in expectation_enames since
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% the name is created on the fly and is not a member of M_.endo_names.
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expectation_pnames = get_variables_and_parameters_in_equation('', rhs, M_);
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expectation_enames = get_variables_and_parameters_in_expression(lhs);
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expectation_xnames = get_variables_and_parameters_in_expression(rhs);
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pnames = union(pnames, expectation_pnames);
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xnames = union(xnames, setdiff(expectation_xnames, expectation_pnames));
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enames = union(enames, expectation_enames);
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fprintf(fid, '[name=''%s'']\n', lhs);
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fprintf(fid, '%s = %s;\n\n', lhs, rhs);
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else
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pRHS = get_variables_and_parameters_in_equation('', RHS, M_);
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xRHS = get_variables_and_parameters_in_expression(RHS);
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xnames = union(xnames, setdiff(xRHS, pRHS));
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pnames = union(pnames, pRHS);
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end
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% Update pnames, enames and xnames if PAC with growth neutrality correction.
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if ~isempty(ispac) && ~isempty(growthneutralitycorrection)
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[growthneutralitycorrection_pnames, ...
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growthneutralitycorrection_enames, ...
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growthneutralitycorrection_xnames] = get_variables_and_parameters_in_equation('', growthneutralitycorrection, M_);
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if ~isempty(growthneutralitycorrection_pnames)
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pnames = union(pnames, growthneutralitycorrection_pnames);
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end
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if ~isempty(growthneutralitycorrection_enames)
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xnames = union(xnames, growthneutralitycorrection_enames);
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end
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if ~isempty(growthneutralitycorrection_xnames)
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xnames = union(xnames, growthneutralitycorrection_xnames);
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end
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end
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% Print tags
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if iscell(json.model)
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tfields = fieldnames(json.model{eqnum}.tags);
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tags = sprintf('%s=''%s''', tfields{1}, json.model{eqnum}.tags.(tfields{1}));
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for j=2:length(tfields)
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if ~isempty(json.model{eqnum}.tags.(tfields{j}))
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tags = sprintf('%s, %s=''%s''', tags, tfields{j}, json.model{eqnum}.tags.(tfields{j}));
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if ~isempty(growthneutralitycorrection_pnames)
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pnames = union(pnames, growthneutralitycorrection_pnames);
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end
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if ~isempty(growthneutralitycorrection_enames)
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xnames = union(xnames, growthneutralitycorrection_enames);
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end
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if ~isempty(growthneutralitycorrection_xnames)
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xnames = union(xnames, growthneutralitycorrection_xnames);
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end
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end
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else
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tfields = fieldnames(json.model.tags);
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tags = sprintf('%s=''%s''', tfields{1}, json.model.tags.(tfields{1}));
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for j=2:length(tfields)
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if ~isempty(json.model.tags.(tfields{j}))
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tags = sprintf('%s, %s=''%s''', tags, tfields{j}, json.model.tags.(tfields{j}));
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% Print tags
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if iscell(json.model)
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tfields = fieldnames(json.model{eqnum}.tags);
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tags = sprintf('%s=''%s''', tfields{1}, json.model{eqnum}.tags.(tfields{1}));
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for j=2:length(tfields)
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if ~isempty(json.model{eqnum}.tags.(tfields{j}))
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tags = sprintf('%s, %s=''%s''', tags, tfields{j}, json.model{eqnum}.tags.(tfields{j}));
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end
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end
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else
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tfields = fieldnames(json.model.tags);
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tags = sprintf('%s=''%s''', tfields{1}, json.model.tags.(tfields{1}));
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for j=2:length(tfields)
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if ~isempty(json.model.tags.(tfields{j}))
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tags = sprintf('%s, %s=''%s''', tags, tfields{j}, json.model.tags.(tfields{j}));
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end
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end
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end
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fprintf(fid, '[%s]\n', tags);
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% Print equation.
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fprintf(fid, '%s = %s;\n\n', lhs_expression, RHS);
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% Update lists of parameters, endogenous variables and exogenous variables.
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plist = union(plist, pnames);
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elist = union(elist, enames);
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xlist = union(xlist, xnames);
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end
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fprintf(fid, '[%s]\n', tags);
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% Print equation.
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fprintf(fid, '%s = %s;\n\n', lhs_expression, RHS);
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% Update lists of parameters, endogenous variables and exogenous variables.
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plist = union(plist, pnames);
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elist = union(elist, enames);
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xlist = union(xlist, xnames);
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catch e
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fclose(fid);
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fprintf(2, '%s\n', e.message)
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fprintf(2, 'Delete ''%s'' file.\n', sprintf('%s/model.inc', outfold))
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delete(sprintf('%s/model.inc', outfold))
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return
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end
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fclose(fid);
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% Export parameters
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