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utils.cpp
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#include <thread>
#include "include/utils.hpp"
using namespace boost::numeric::ublas;
using namespace boost;
using namespace singularity;
void matrix_tools::normalize_columns(matrix_t &m)
{
mapped_vector<double> a (m.size2());
for (matrix_t::iterator1 i = m.begin1(); i != m.end1(); i++)
{
for (matrix_t::iterator2 j = i.begin(); j != i.end(); j++)
{
if (*j != 0) {
a[j.index2()] += *j;
}
}
}
for (matrix_t::iterator1 i = m.begin1(); i != m.end1(); i++)
{
for (matrix_t::iterator2 j = i.begin(); j != i.end(); j++)
{
double norm = a[j.index2()];
if (norm != 0) {
*j /= norm;
}
}
}
}
void matrix_tools::normalize_rows(matrix_t &m)
{
for (matrix_t::iterator1 i = m.begin1(); i != m.end1(); i++)
{
double norm = 0;
for (matrix_t::iterator2 j = i.begin(); j != i.end(); j++)
{
norm += *j;
}
if (norm > 0) {
for (matrix_t::iterator2 j = i.begin(); j != i.end(); j++)
{
*j /= norm;
}
}
}
}
sparce_vector_t matrix_tools::calculate_correction_vector(const matrix_t& o) {
sparce_vector_t v(o.size2()), a(o.size2());
double correction_value = 1.0/o.size2();
for (matrix_t::const_iterator1 j = o.begin1(); j != o.end1(); j++)
{
for (matrix_t::const_iterator2 i = j.begin(); i != j.end(); i++)
{
if (*i != 0) {
a[i.index2()] += *i;
}
}
}
for (unsigned int i=0; i< a.size();i++) {
if (a[i] == 0) {
v(i) = correction_value;
}
}
return v;
}
std::shared_ptr<matrix_t> matrix_tools::resize(matrix_t& m, matrix_t::size_type size1, matrix_t::size_type size2) {
std::shared_ptr<matrix_t> m2(new matrix_t(size1, size2));
if (size1 > m.size1() && size2 > m.size2()) {
for (matrix_t::iterator1 i = m.begin1(); i != m.end1(); i++) {
for (matrix_t::iterator2 j = i.begin(); j != i.end(); j++) {
(*m2)(j.index1(), j.index2()) = *j;
}
}
} else if (size1 < m.size1() && size2 < m.size2()) {
range_t r1(0, m2->size1()), r2(0, m2->size2());
matrix_range_t mr(m, r1, r2);
*m2 = mr;
} else if (size1 == m.size1() && size2 == m.size2()) {
*m2 = m;
} else {
throw runtime_exception("Wrong sizes");
}
return m2;
}
void matrix_tools::prod( vector_t& out, const matrix_t& m, const vector_t& v, unsigned int num_threads) {
std::vector<std::thread> threads;
std::vector<range_t> ranges = split_range(range_t(0, m.size1()), num_threads);
for (unsigned int i=0; i<ranges.size(); i++) {
threads.push_back(std::thread(partial_prod, std::ref(out), std::ref(m), std::ref(v), ranges[i]));
}
for (unsigned int i=0; i<threads.size(); i++) {
threads[i].join();
}
}
void matrix_tools::partial_prod( vector_t& out, const matrix_t& m, const vector_t& v, range_t range)
{
for (matrix_t::const_iterator1 i = m.begin1(); i != m.end1(); i++) {
if (i.index1() >= range.start() && i.index1() < range.start() + range.size()) {
double x = 0;
for (matrix_t::const_iterator2 j = i.begin(); j != i.end(); j++) {
x += (*j) * v(j.index2());
}
out[i.index1()] = x;
}
}
}
std::vector<range_t> matrix_tools::split_range(range_t range, unsigned int max)
{
std::vector<range_t> result;
range_t::size_type total_count = range.size();
range_t::size_type rest = total_count;
range_t::size_type partial_count;
if (total_count <= max) {
partial_count = 1;
} else {
if (total_count % max == 0) {
partial_count = total_count / max;
} else {
partial_count = total_count / max + 1;
}
}
range_t::size_type i=0;
while(rest > 0) {
range_t::size_type real_count = std::min(partial_count, rest);
result.push_back(range_t(i, i+real_count));
rest -= real_count;
i += real_count;
}
return result;
}