combination_sampler.cc

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// Copyright (c) 2018, ETH Zurich and UNC Chapel Hill.
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// Author: Johannes L. Schoenberger (jsch-at-demuc-dot-de)
 
#include "optim/combination_sampler.h"
 
#include <numeric>
 
#include "util/math.h"
#include "util/random.h"
 
namespace colmap {
 
CombinationSampler::CombinationSampler(const size_t num_samples)
    : num_samples_(num_samples) {}
 
void CombinationSampler::Initialize(const size_t total_num_samples) {
  CHECK_LE(num_samples_, total_num_samples);
  total_sample_idxs_.resize(total_num_samples);
  // Note that the samples must be in increasing order for `NextCombination`.
  std::iota(total_sample_idxs_.begin(), total_sample_idxs_.end(), 0);
}
 
size_t CombinationSampler::MaxNumSamples() {
  return NChooseK(total_sample_idxs_.size(), num_samples_);
}
 
std::vector<size_t> CombinationSampler::Sample() {
  std::vector<size_t> sampled_idxs(num_samples_);
  for (size_t i = 0; i < num_samples_; ++i) {
    sampled_idxs[i] = total_sample_idxs_[i];
  }
 
  if (!NextCombination(total_sample_idxs_.begin(),
                       total_sample_idxs_.begin() + num_samples_,
                       total_sample_idxs_.end())) {
    // Reached all possible combinations, so reset to original state.
    // Note that the samples must be in increasing order for `NextCombination`.
    std::iota(total_sample_idxs_.begin(), total_sample_idxs_.end(), 0);
  }
 
  return sampled_idxs;
}
 
}  // namespace colmap