inline void execute(query_context& context) {
if (m_random_seed != -1) {
random::get_source().seed(m_random_seed + thread::thread_id());
}
while(1) {
auto rows = context.get_next(0);
if (rows == nullptr)
break;
auto output = context.get_output_buffer();
output->resize(1, rows->num_rows());
auto iter = rows->cbegin();
auto output_iter = output->begin();
while(iter != rows->cend()) {
auto outval = m_transform_fn((*iter));
if (m_output_type == flex_type_enum::UNDEFINED ||
outval.get_type() == m_output_type ||
outval.get_type() == flex_type_enum::UNDEFINED) {
(*output_iter)[0] = outval;
} else {
flexible_type f(m_output_type);
f.soft_assign(outval);
(*output_iter)[0] = f;
}
++output_iter;
++iter;
}
context.emit(output);
}
}
inline void execute(query_context& context) {
while(1) {
auto rows = context.get_next(0);
if (rows == nullptr)
break;
for (const auto& row : *rows) {
// TODO make add_element take a sframe_row::row_reference instead
if (row.size() == 1) m_aggregator->add_element_simple(row[0]);
else m_aggregator->add_element(std::vector<flexible_type>(row));
}
}
auto out = context.get_output_buffer();
out->resize(1, 1);
(*out)[0][0] = m_aggregator->emit();
context.emit(out);
}
inline void execute(query_context& context) {
std::vector<std::shared_ptr<const sframe_rows> > input_v(num_inputs);
std::vector<
std::vector<
std::shared_ptr<
std::vector<graphlab::flexible_type> > > > input_columns(num_inputs);
while(1) {
bool all_null = true, any_null = false;
for(size_t i = 0; i < num_inputs; ++i) {
input_v[i] = context.get_next(i);
if(input_v[i] == nullptr)
any_null = true;
else
all_null = false;
}
if(any_null) {
ASSERT_TRUE(all_null);
break;
}
for(size_t i = 0; i < num_inputs; ++i) {
input_columns[i] = std::move(input_v[i]->get_columns());
}
auto out = context.get_output_buffer();
auto& out_columns = out->get_columns();
out_columns.clear();
for(const std::pair<size_t, size_t>& p : index_map) {
out_columns.push_back(input_columns[p.first][p.second]);
}
context.emit(out);
}
}