/*! \param in In-Stream to load the rank_support data from.
*/
void load(std::istream& in) {
m_abs_samples.load(in);
m_differences.load(in);
read_member(m_ones, in);
read_member(m_size, in);
m_contains_abs_sample.load(in);
m_rank_contains_abs_sample.load(in, &m_contains_abs_sample);
}
//! Copy constructor
nearest_neighbour_dictionary(const nearest_neighbour_dictionary& nnd)
: m_abs_samples(nnd.m_abs_samples)
, m_differences(nnd.m_differences)
, m_ones(nnd.m_ones)
, m_size(nnd.m_size)
, m_contains_abs_sample(nnd.m_contains_abs_sample)
, m_rank_contains_abs_sample(nnd.m_rank_contains_abs_sample)
{
m_rank_contains_abs_sample.set_vector(&m_contains_abs_sample);
}
void copy(const nearest_neighbour_dictionary& nnd) {
// copy all members of the data structure
m_abs_samples = nnd.m_abs_samples;
m_differences = nnd.m_differences;
m_ones = nnd.m_ones;
m_size = nnd.m_size;
m_contains_abs_sample = nnd.m_contains_abs_sample;
m_rank_contains_abs_sample = nnd.m_rank_contains_abs_sample;
m_rank_contains_abs_sample.set_vector(&m_contains_abs_sample);
}
void CEREAL_LOAD_FUNCTION_NAME(archive_t & ar)
{
ar(CEREAL_NVP(m_ones));
ar(CEREAL_NVP(m_size));
ar(CEREAL_NVP(m_abs_samples));
ar(CEREAL_NVP(m_differences));
ar(CEREAL_NVP(m_contains_abs_sample));
ar(CEREAL_NVP(m_rank_contains_abs_sample));
m_rank_contains_abs_sample.set_vector(&m_contains_abs_sample);
}
/*! \param out Out-Stream to serialize the data to.
*/
size_type serialize(std::ostream& out, structure_tree_node* v=NULL, std::string name="")const {
size_type written_bytes = 0;
structure_tree_node* child = structure_tree::add_child(v, name, util::class_name(*this));
written_bytes += m_abs_samples.serialize(out, child, "absolute_samples");
written_bytes += m_differences.serialize(out, child, "differences");
written_bytes += write_member(m_ones, out, child, "ones");
written_bytes += write_member(m_size,out, child, "size");
written_bytes += m_contains_abs_sample.serialize(out, child, "contains_abs_sample");
written_bytes += m_rank_contains_abs_sample.serialize(out, child, "rank_contains_abs_sample");
structure_tree::add_size(child, written_bytes);
return written_bytes;
}
nearest_neighbour_dictionary& operator=(nearest_neighbour_dictionary&& nnd)
{
if (this != &nnd) {
m_abs_samples = std::move(nnd.m_abs_samples);
m_differences = std::move(nnd.m_differences);
m_ones = std::move(nnd.m_ones);
m_size = std::move(nnd.m_size);
m_contains_abs_sample = std::move(nnd.m_contains_abs_sample);
m_rank_contains_abs_sample = std::move(nnd.m_rank_contains_abs_sample);
m_rank_contains_abs_sample.set_vector(&m_contains_abs_sample);
}
return *this;
}
/*! \param idx Argument for the length of the prefix v[0..idx-1].
* \return Number of 1-bits in the prefix [0..idx-1] of the supported bit_vector.
* \par Time complexity \f$ \Order{1} \f$
*/
size_type rank(size_type idx) const
{
assert(idx <= m_size);
size_type r = m_rank_contains_abs_sample.rank(idx / t_sample_dens); //
size_type result = r * t_sample_dens;
size_type i = m_abs_samples[r];
while (++result <= m_ones) {
if ((result % t_sample_dens) == 0) {
i = m_abs_samples[result / t_sample_dens];
} else {
i = i + m_differences[result - result / t_sample_dens - 1];
}
if (i >= idx) return result - 1;
}
return result - 1;
};
