DBRow_tpl.h

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/****************************************************************************
 *   This file is part of the aGrUM/pyAgrum library.                        *
 *                                                                          *
 *   Copyright (c) 2005-2025 by                                             *
 *       - Pierre-Henri WUILLEMIN(_at_LIP6)                                 *
 *       - Christophe GONZALES(_at_AMU)                                     *
 *                                                                          *
 *   The aGrUM/pyAgrum library is free software; you can redistribute it    *
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 *    - the MIT license (MIT),                                              *
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 *   SPDX-FileCopyrightText: Copyright 2005-2025                            *
 *       - Pierre-Henri WUILLEMIN(_at_LIP6)                                 *
 *       - Christophe GONZALES(_at_AMU)                                     *
 *   SPDX-License-Identifier: LGPL-3.0-or-later OR MIT                      *
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 *   Contact  : info_at_agrum_dot_org                                       *
 *   homepage : http://agrum.gitlab.io                                      *
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 ****************************************************************************/
#pragma once
 

#ifndef DOXYGEN_SHOULD_SKIP_THIS
 
#  include <algorithm>
 
#  include <agrum/base/database/DBRow.h>
 
namespace gum {
 
  namespace learning {

    template < typename T_DATA >
    INLINE DBRow< T_DATA >::DBRow() {
      GUM_CONSTRUCTOR(DBRow);
    }

    template < typename T_DATA >
    INLINE DBRow< T_DATA >::DBRow(const std::size_t size,
                                  const T_DATA      default_cell,
                                  const double weight) : row_(size, default_cell), weight_(weight) {
      GUM_CONSTRUCTOR(DBRow);
    }

    template < typename T_DATA >
    INLINE DBRow< T_DATA >::DBRow(const std::size_t size, const double weight) :
        DBRow(size, T_DATA(), weight) {}

    template < typename T_DATA >
    INLINE DBRow< T_DATA >::DBRow(std::initializer_list< T_DATA > list, const double weight) :
        row_(list), weight_(weight) {
      GUM_CONSTRUCTOR(DBRow);
    }

    template < typename T_DATA >
    INLINE void DBRow< T_DATA >::setRow(const std::vector< T_DATA >& new_row) {
      const std::size_t size = new_row.size();
      if (size) {
        row_.resize(size);
        std::copy(new_row.begin(), new_row.end(), row_.begin());
      } else {
        row_.clear();
      }
    }

    template < typename T_DATA >
    INLINE void DBRow< T_DATA >::setRow(std::vector< T_DATA >&& new_row) {
      row_ = std::move(new_row);
    }

    template < typename T_DATA >
    INLINE DBRow< T_DATA >::DBRow(const std::vector< T_DATA >& cells, const double weight) :
        weight_(weight) {
      setRow(cells);
      GUM_CONSTRUCTOR(DBRow);
    }

    template < typename T_DATA >
    INLINE DBRow< T_DATA >::DBRow(std::vector< T_DATA >&& cells, const double weight) :
        row_(std::move(cells)), weight_(weight) {
      GUM_CONSTRUCTOR(DBRow);
    }

    template < typename T_DATA >
    INLINE DBRow< T_DATA >::DBRow(const DBRow< T_DATA >& from) :
        row_(from.row_), weight_(from.weight_) {
      GUM_CONS_CPY(DBRow);
    }

    template < typename T_DATA >
    INLINE DBRow< T_DATA >::DBRow(DBRow< T_DATA >&& from) :
        row_(std::move(from.row_)), weight_(from.weight_) {
      GUM_CONS_MOV(DBRow);
    }

    template < typename T_DATA >
    INLINE DBRow< T_DATA >* DBRow< T_DATA >::clone() const {
      return new DBRow< T_DATA >(*this);
    }

    template < typename T_DATA >
    INLINE DBRow< T_DATA >::~DBRow() {
      GUM_DESTRUCTOR(DBRow);
    }

    template < typename T_DATA >
    INLINE DBRow< T_DATA >& DBRow< T_DATA >::operator=(const DBRow< T_DATA >& from) {
      if (this != &from) {
        row_    = from.row_;
        weight_ = from.weight_;
      }
      return *this;
    }

    template < typename T_DATA >
    INLINE DBRow< T_DATA >& DBRow< T_DATA >::operator=(DBRow< T_DATA >&& from) {
      if (this != &from) {
        row_    = std::move(from.row_);
        weight_ = from.weight_;
      }
      return *this;
    }

    template < typename T_DATA >
    INLINE T_DATA& DBRow< T_DATA >::operator[](const std::size_t i) {
      return row_[i];
    }

    template < typename T_DATA >
    INLINE const T_DATA& DBRow< T_DATA >::operator[](const std::size_t i) const {
      return row_[i];
    }

    template < typename T_DATA >
    INLINE const std::vector< T_DATA >& DBRow< T_DATA >::row() const noexcept {
      return row_;
    }

    template < typename T_DATA >
    INLINE std::vector< T_DATA >& DBRow< T_DATA >::row() noexcept {
      return row_;
    }

    template < typename T_DATA >
    INLINE const double& DBRow< T_DATA >::weight() const noexcept {
      return weight_;
    }

    template < typename T_DATA >
    INLINE double& DBRow< T_DATA >::weight() noexcept {
      return weight_;
    }

    template < typename T_DATA >
    INLINE void DBRow< T_DATA >::setWeight(const double new_weight) {
      weight_ = new_weight;
    }

    template < typename T_DATA >
    INLINE std::size_t DBRow< T_DATA >::size() const noexcept {
      return row_.size();
    }

    template < typename T_DATA >
    INLINE void DBRow< T_DATA >::resize(const std::size_t new_size) {
      row_.resize(new_size);
    }

    template < typename T_DATA >
    INLINE void DBRow< T_DATA >::reserve(const std::size_t new_size) {
      row_.reserve(new_size);
    }

    template < typename T_DATA >
    INLINE void DBRow< T_DATA >::pushBack(const T_DATA& elt) {
      row_.push_back(elt);
    }

    template < typename T_DATA >
    INLINE void DBRow< T_DATA >::pushBack(T_DATA&& elt) {
      row_.push_back(std::move(elt));
    }
 
 
  } /* namespace learning */
 
} /* namespace gum */
 
 
#endif /* DOXYGEN_SHOULD_SKIP_THIS */