cachedContingencyCounter_inl.h

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 *   This file is part of the aGrUM/pyAgrum library.                        *
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 *   Copyright (c) 2005-2026 by                                             *
 *       - Pierre-Henri WUILLEMIN(_at_LIP6)                                 *
 *       - Christophe GONZALES(_at_AMU)                                     *
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 *       - Pierre-Henri WUILLEMIN(_at_LIP6)                                 *
 *       - Christophe GONZALES(_at_AMU)                                     *
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#pragma once
 

#include <agrum/base/stattests/cachedContingencyCounter.h>   // to ease IDE parser
#ifndef DOXYGEN_SHOULD_SKIP_THIS
 
namespace gum {
 
  namespace learning {
 
    INLINE CachedContingencyCounter::CachedContingencyCounter(
        const DBRowGeneratorParser&                                 parser,
        const Prior&                                                prior,
        const std::vector< std::pair< std::size_t, std::size_t > >& ranges,
        const Bijection< NodeId, std::size_t >&                     nodeId2columns) :
        prior_(prior.clone()), counter_(parser, ranges, nodeId2columns) {
      GUM_CONSTRUCTOR(CachedContingencyCounter);
    }
 
    INLINE CachedContingencyCounter::CachedContingencyCounter(
        const DBRowGeneratorParser&             parser,
        const Prior&                            prior,
        const Bijection< NodeId, std::size_t >& nodeId2columns) :
        prior_(prior.clone()), counter_(parser, nodeId2columns) {
      GUM_CONSTRUCTOR(CachedContingencyCounter);
    }
 
    INLINE
    CachedContingencyCounter::CachedContingencyCounter(const CachedContingencyCounter& from) :
        prior_(from.prior_->clone()), counter_(from.counter_), cache_(from.cache_),
        use_cache_(from.use_cache_) {
      GUM_CONS_CPY(CachedContingencyCounter);
    }
 
    INLINE CachedContingencyCounter::CachedContingencyCounter(CachedContingencyCounter&& from) :
        prior_(from.prior_), counter_(std::move(from.counter_)), cache_(std::move(from.cache_)),
        use_cache_(from.use_cache_) {
      from.prior_ = nullptr;
      GUM_CONS_MOV(CachedContingencyCounter);
    }
 
    INLINE CachedContingencyCounter::~CachedContingencyCounter() {
      if (prior_ != nullptr) delete prior_;
      GUM_DESTRUCTOR(CachedContingencyCounter);
    }
 
    INLINE void CachedContingencyCounter::setNumberOfThreads(Size nb) {
      counter_.setNumberOfThreads(nb);
    }
 
    INLINE Size CachedContingencyCounter::getNumberOfThreads() const {
      return counter_.getNumberOfThreads();
    }
 
    INLINE bool CachedContingencyCounter::isGumNumberOfThreadsOverriden() const {
      return counter_.isGumNumberOfThreadsOverriden();
    }
 
    INLINE void CachedContingencyCounter::setMinNbRowsPerThread(const std::size_t nb) const {
      counter_.setMinNbRowsPerThread(nb);
    }
 
    INLINE std::size_t CachedContingencyCounter::minNbRowsPerThread() const {
      return counter_.minNbRowsPerThread();
    }
 
    INLINE const std::vector< std::pair< std::size_t, std::size_t > >&
                 CachedContingencyCounter::ranges() const {
      return counter_.ranges();
    }
 
    INLINE void CachedContingencyCounter::clear() {
      counter_.clear();
      cache_.clear();
    }
 
    INLINE void CachedContingencyCounter::clearCache() { cache_.clear(); }
 
    INLINE void CachedContingencyCounter::useCache(const bool on_off) { use_cache_ = on_off; }
 
    INLINE const Bijection< NodeId, std::size_t >&
                 CachedContingencyCounter::nodeId2Columns() const {
      return counter_.nodeId2Columns();
    }
 
    INLINE const DatabaseTable& CachedContingencyCounter::database() const {
      return counter_.database();
    }
 
  } /* namespace learning */
 
} /* namespace gum */
 
#endif /* DOXYGEN_SHOULD_SKIP_THIS */