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Send Stan outputs to stdout rather than stderr #94

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merged 1 commit into from
Mar 28, 2023
Merged

Send Stan outputs to stdout rather than stderr #94

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22 changes: 11 additions & 11 deletions src/model_rng.cpp
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Original file line number Diff line number Diff line change
Expand Up @@ -62,19 +62,19 @@ bs_model_rng::bs_model_rng(const char* data_file, unsigned int seed,
std::string data(data_file);
if (data.empty()) {
auto data_context = stan::io::empty_var_context();
model_ = &new_model(data_context, seed, &std::cerr);
model_ = &new_model(data_context, seed, &std::cout);
} else {
if (stan::io::ends_with(".json", data)) {
std::ifstream in(data);
if (!in.good())
throw std::runtime_error("Cannot read input file: " + data);
auto data_context = stan::json::json_data(in);
in.close();
model_ = &new_model(data_context, seed, &std::cerr);
model_ = &new_model(data_context, seed, &std::cout);
} else {
std::istringstream json(data);
auto data_context = stan::json::json_data(json);
model_ = &new_model(data_context, seed, &std::cerr);
model_ = &new_model(data_context, seed, &std::cout);
}
}
boost::ecuyer1988 rng(seed);
Expand Down Expand Up @@ -235,7 +235,7 @@ void bs_model_rng::param_unconstrain_json(const char* json,
std::stringstream in(json);
stan::json::json_data inits_context(in);
Eigen::VectorXd params_unc;
model_->transform_inits(inits_context, params_unc, &std::cerr);
model_->transform_inits(inits_context, params_unc, &std::cout);
Eigen::VectorXd::Map(theta_unc, params_unc.size()) = params_unc;
}

Expand All @@ -245,7 +245,7 @@ void bs_model_rng::param_constrain(bool include_tp, bool include_gq,
VectorXd params_unc = VectorXd::Map(theta_unc, param_unc_num_);
Eigen::VectorXd params;
model_->write_array(rng_, params_unc, params, include_tp, include_gq,
&std::cerr);
&std::cout);
Eigen::VectorXd::Map(theta, params.size()) = params;
}

Expand All @@ -257,15 +257,15 @@ auto bs_model_rng::make_model_lambda(bool propto, bool jacobian) const {
x);
if (propto) {
if (jacobian) {
return model->log_prob_propto_jacobian(params, &std::cerr);
return model->log_prob_propto_jacobian(params, &std::cout);
} else {
return model->log_prob_propto(params, &std::cerr);
return model->log_prob_propto(params, &std::cout);
}
} else {
if (jacobian) {
return model->log_prob_jacobian(params, &std::cerr);
return model->log_prob_jacobian(params, &std::cout);
} else {
return model->log_prob(params, &std::cerr);
return model->log_prob(params, &std::cout);
}
}
};
Expand All @@ -285,9 +285,9 @@ void bs_model_rng::log_density(bool propto, bool jacobian,
} else {
Eigen::VectorXd params_unc = Eigen::VectorXd::Map(theta_unc, N);
if (jacobian) {
*val = model_->log_prob_jacobian(params_unc, &std::cerr);
*val = model_->log_prob_jacobian(params_unc, &std::cout);
} else {
*val = model_->log_prob(params_unc, &std::cerr);
*val = model_->log_prob(params_unc, &std::cout);
}
}
}
Expand Down