Rename EquationType::evaluate_s to evaluateRenormalized, for clarity
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c6a17913b4
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a6d9ba6e55
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@ -109,7 +109,7 @@ enum class EquationType
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{
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unknown, //!< Unknown equation type
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evaluate, //!< Simple evaluation, normalized variable on left-hand side (written as such by the user)
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evaluate_s, //!< Simple evaluation, normalized variable on left-hand side (normalization computed by the preprocessor)
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evaluateRenormalized, //!< Simple evaluation, normalized variable on left-hand side (normalization computed by the preprocessor)
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solve //!< No simple evaluation of the equation, it has to be solved
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};
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@ -394,7 +394,7 @@ DynamicModel::writeDynamicPerBlockMFiles(const string &basename) const
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case BlockSimulationType::evaluateBackward:
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case BlockSimulationType::evaluateForward:
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evaluation:
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if (equ_type == EquationType::evaluate_s)
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if (equ_type == EquationType::evaluateRenormalized)
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{
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e = getBlockEquationRenormalizedExpr(blk, eq);
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lhs = e->arg1;
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@ -955,7 +955,7 @@ DynamicModel::writeDynamicBlockBytecode(const string &basename, bool linear_deco
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rhs->compile(code_file, instruction_number, false, temporary_terms_union, blocks_temporary_terms_idxs, true, false);
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lhs->compile(code_file, instruction_number, true, temporary_terms_union, blocks_temporary_terms_idxs, true, false);
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}
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else if (equ_type == EquationType::evaluate_s)
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else if (equ_type == EquationType::evaluateRenormalized)
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{
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eq_node = getBlockEquationRenormalizedExpr(block, i);
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lhs = eq_node->arg1;
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@ -4449,7 +4449,7 @@ DynamicModel::determineBlockDerivativesType(int blk)
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if (int var_orig = getBlockVariableID(blk, var);
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endos_and_lags.find({ var_orig, lag }) != endos_and_lags.end())
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{
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if (getBlockEquationType(blk, eq) == EquationType::evaluate_s
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if (getBlockEquationType(blk, eq) == EquationType::evaluateRenormalized
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&& eq < nb_recursive)
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/* It’s a normalized recursive equation, we have to recompute
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the derivative using the chain rule */
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@ -4483,7 +4483,7 @@ DynamicModel::computeChainRuleJacobian()
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for (int i = 0; i < nb_recursives; i++)
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{
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int deriv_id = getDerivID(symbol_table.getID(SymbolType::endogenous, getBlockVariableID(blk, i)), 0);
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if (getBlockEquationType(blk, i) == EquationType::evaluate_s)
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if (getBlockEquationType(blk, i) == EquationType::evaluateRenormalized)
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recursive_vars[deriv_id] = getBlockEquationRenormalizedExpr(blk, i);
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else
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recursive_vars[deriv_id] = getBlockEquationExpr(blk, i);
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@ -542,7 +542,7 @@ ModelTree::equationTypeDetermination(const map<tuple<int, int, int>, expr_t> &fi
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{
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normalized_eq = equations[eq]->normalizeEquation(symbol_table.getID(SymbolType::endogenous, var), 0);
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if ((mfs == 2 && variable_not_in_derivative) || mfs == 3)
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Equation_Simulation_Type = EquationType::evaluate_s;
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Equation_Simulation_Type = EquationType::evaluateRenormalized;
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}
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catch (ExprNode::NormalizationFailed &e)
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{
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@ -643,7 +643,7 @@ ModelTree::computeSimulationTypeOfBlock(int blk)
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else
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{
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bool can_eval = (getBlockEquationType(blk, 0) == EquationType::evaluate
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|| getBlockEquationType(blk, 0) == EquationType::evaluate_s);
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|| getBlockEquationType(blk, 0) == EquationType::evaluateRenormalized);
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if (blocks[blk].max_endo_lead > 0)
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type = can_eval ? BlockSimulationType::evaluateBackward :
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BlockSimulationType::solveBackwardSimple;
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@ -353,7 +353,7 @@ protected:
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bool
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isBlockEquationRenormalized(int blk, int eq) const
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{
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return equation_type_and_normalized_equation[eq_idx_block2orig[blocks[blk].first_equation + eq]].first == EquationType::evaluate_s;
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return equation_type_and_normalized_equation[eq_idx_block2orig[blocks[blk].first_equation + eq]].first == EquationType::evaluateRenormalized;
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};
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//! Return the expr_t of equation belonging to the block
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BinaryOpNode *
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@ -218,7 +218,7 @@ StaticModel::writeStaticPerBlockMFiles(const string &basename) const
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case BlockSimulationType::evaluateBackward:
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case BlockSimulationType::evaluateForward:
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evaluation:
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if (equ_type == EquationType::evaluate_s)
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if (equ_type == EquationType::evaluateRenormalized)
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{
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e = getBlockEquationRenormalizedExpr(blk, eq);
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lhs = e->arg1;
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@ -569,7 +569,7 @@ StaticModel::writeStaticBlockBytecode(const string &basename) const
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rhs->compile(code_file, instruction_number, false, temporary_terms_union, blocks_temporary_terms_idxs, false, false);
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lhs->compile(code_file, instruction_number, true, temporary_terms_union, blocks_temporary_terms_idxs, false, false);
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}
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else if (equ_type == EquationType::evaluate_s)
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else if (equ_type == EquationType::evaluateRenormalized)
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{
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eq_node = getBlockEquationRenormalizedExpr(block, i);
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lhs = eq_node->arg1;
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@ -745,7 +745,7 @@ StaticModel::writeStaticBlockBytecode(const string &basename) const
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rhs->compile(code_file, instruction_number, false, temporary_terms_union, blocks_temporary_terms_idxs, false, false);
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lhs->compile(code_file, instruction_number, true, temporary_terms_union, blocks_temporary_terms_idxs, false, false);
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}
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else if (equ_type == EquationType::evaluate_s)
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else if (equ_type == EquationType::evaluateRenormalized)
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{
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eq_node = getBlockEquationRenormalizedExpr(block, i);
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lhs = eq_node->arg1;
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@ -1903,7 +1903,7 @@ StaticModel::computeChainRuleJacobian()
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for (int i = 0; i < nb_recursives; i++)
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{
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int deriv_id = getDerivID(symbol_table.getID(SymbolType::endogenous, getBlockVariableID(blk, i)), 0);
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if (getBlockEquationType(blk, i) == EquationType::evaluate_s)
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if (getBlockEquationType(blk, i) == EquationType::evaluateRenormalized)
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recursive_vars[deriv_id] = getBlockEquationRenormalizedExpr(blk, i);
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else
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recursive_vars[deriv_id] = getBlockEquationExpr(blk, i);
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