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C++ TSet::begin方法代码示例

本文整理汇总了C++中TSet::begin方法的典型用法代码示例。如果您正苦于以下问题:C++ TSet::begin方法的具体用法?C++ TSet::begin怎么用?C++ TSet::begin使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在TSet的用法示例。


在下文中一共展示了TSet::begin方法的3个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的C++代码示例。

示例1: TestCtorHelper

 void TestCtorHelper(TSet & set)
 {
     IS_TRUE(set.empty());
     IS_TRUE(set.size() == 0);
     IS_TRUE(set.begin() == set.end());
     IS_TRUE(set.cbegin() == set.cend());
     IS_TRUE(set.rbegin() == set.rend());
     IS_TRUE(set.crbegin() == set.crend());
 }
开发者ID:htiga,项目名称:LaiSTL,代码行数:9,代码来源:TestSet.cpp

示例2: Filter

void PreRanker::Filter(bool viewportSearch)
{
  using TSet = set<impl::PreResult1, LessFeatureID>;
  TSet theSet;

  sort(m_results.begin(), m_results.end(), ComparePreResult1());
  m_results.erase(unique(m_results.begin(), m_results.end(), EqualFeatureID()), m_results.end());

  sort(m_results.begin(), m_results.end(), &impl::PreResult1::LessDistance);

  if (m_limit != 0 && m_results.size() > m_limit)
  {
    // Priority is some kind of distance from the viewport or
    // position, therefore if we have a bunch of results with the same
    // priority, we have no idea here which results are relevant.  To
    // prevent bias from previous search routines (like sorting by
    // feature id) this code randomly selects tail of the
    // sorted-by-priority list of pre-results.

    double const last = m_results[m_limit - 1].GetDistance();

    auto b = m_results.begin() + m_limit - 1;
    for (; b != m_results.begin() && b->GetDistance() == last; --b)
      ;
    if (b->GetDistance() != last)
      ++b;

    auto e = m_results.begin() + m_limit;
    for (; e != m_results.end() && e->GetDistance() == last; ++e)
      ;

    // The main reason of shuffling here is to select a random subset
    // from the low-priority results. We're using a linear
    // congruential method with default seed because it is fast,
    // simple and doesn't need an external entropy source.
    //
    // TODO (@y, @m, @vng): consider to take some kind of hash from
    // features and then select a subset with smallest values of this
    // hash.  In this case this subset of results will be persistent
    // to small changes in the original set.
    minstd_rand engine;
    shuffle(b, e, engine);
  }
  theSet.insert(m_results.begin(), m_results.begin() + min(m_results.size(), m_limit));

  if (!viewportSearch)
  {
    size_t n = min(m_results.size(), m_limit);
    nth_element(m_results.begin(), m_results.begin() + n, m_results.end(),
                &impl::PreResult1::LessRank);
    theSet.insert(m_results.begin(), m_results.begin() + n);
  }

  m_results.reserve(theSet.size());
  m_results.clear();
  copy(theSet.begin(), theSet.end(), back_inserter(m_results));
}
开发者ID:igortomko,项目名称:omim,代码行数:57,代码来源:pre_ranker.cpp

示例3: GetMediaFiles

void CCueDocument::GetMediaFiles(vector<std::string>& mediaFiles)
{
  typedef set<std::string> TSet;
  TSet uniqueFiles;
  for (Tracks::const_iterator it = m_tracks.begin(); it != m_tracks.end(); ++it)
    uniqueFiles.insert(it->strFile);

  for (TSet::const_iterator it = uniqueFiles.begin(); it != uniqueFiles.end(); it++)
    mediaFiles.push_back(*it);
}
开发者ID:odon,项目名称:xbmc,代码行数:10,代码来源:CueDocument.cpp


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