// Args:
// full_data: The complete vector of observed data. The
// expectation is that this is owned by a Model.
// first: The position of the first data point in *full_data
// that this worker should impute.
// one_past_end: The position that is one past the last data
// point in *full_data that this worker should impute.
//
// The data will be forgotten (by a call to forget_data()) if
// full_data is a nullptr, or first == one_past_end.
void assign_data(const std::vector<Ptr<OBSERVED_DATA> > *full_data,
std::size_t first,
std::size_t one_past_end) {
if (!full_data) {
forget_data();
return;
}
if (one_past_end > full_data->size()) {
one_past_end = full_data->size();
}
if (one_past_end < first) {
report_error("Last data point must come after first one.");
}
if (one_past_end == first) {
// It would be nice to combine this with the first if
// statement, but since one_past_end might change in the
// second one, this check needs its own branch.
forget_data();
return;
}
observed_data_ = full_data;
first_data_point_ = first;
one_past_end_ = one_past_end;
}
LatentDataImputerWorker(Imputer *imputer,
const SUFFICIENT_STATISTICS &suf)
: imputer_(imputer),
suf_(suf)
{
forget_data();
// If imputer also happens to be a PosteriorSampler, then use
// the PosteriorSampler's methods for random number generation.
PosteriorSampler *sampler = dynamic_cast<PosteriorSampler *>(imputer);
if (sampler) {
rng_ = &(sampler->rng());
} else {
rng_storage_.reset(new RNG(seed_rng()));
rng_ = rng_storage_.get();
}
}
