aGrUM 2.3.2
a C++ library for (probabilistic) graphical models
netWriter.h
Go to the documentation of this file.
1/****************************************************************************
2 * This file is part of the aGrUM/pyAgrum library. *
3 * *
4 * Copyright (c) 2005-2025 by *
5 * - Pierre-Henri WUILLEMIN(_at_LIP6) *
6 * - Christophe GONZALES(_at_AMU) *
7 * *
8 * The aGrUM/pyAgrum library is free software; you can redistribute it *
9 * and/or modify it under the terms of either : *
10 * *
11 * - the GNU Lesser General Public License as published by *
12 * the Free Software Foundation, either version 3 of the License, *
13 * or (at your option) any later version, *
14 * - the MIT license (MIT), *
15 * - or both in dual license, as here. *
16 * *
17 * (see https://agrum.gitlab.io/articles/dual-licenses-lgplv3mit.html) *
18 * *
19 * This aGrUM/pyAgrum library is distributed in the hope that it will be *
20 * useful, but WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, *
21 * INCLUDING BUT NOT LIMITED TO THE WARRANTIES MERCHANTABILITY or FITNESS *
22 * FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE *
23 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER *
24 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, *
25 * ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR *
26 * OTHER DEALINGS IN THE SOFTWARE. *
27 * *
28 * See LICENCES for more details. *
29 * *
30 * SPDX-FileCopyrightText: Copyright 2005-2025 *
31 * - Pierre-Henri WUILLEMIN(_at_LIP6) *
32 * - Christophe GONZALES(_at_AMU) *
33 * SPDX-License-Identifier: LGPL-3.0-or-later OR MIT *
34 * *
35 * Contact : info_at_agrum_dot_org *
36 * homepage : http://agrum.gitlab.io *
37 * gitlab : https://gitlab.com/agrumery/agrum *
38 * *
39 ****************************************************************************/
40
41
51
52#ifndef GUM_NET_WRITER_H
53#define GUM_NET_WRITER_H
54
55#include <string>
56
57#include <agrum/agrum.h>
58
60
61namespace gum {
62
75 template < typename GUM_SCALAR >
76 class NetWriter final: public BNWriter< GUM_SCALAR > {
77 public:
78 // ==========================================================================
80 // ==========================================================================
82
87
91 ~NetWriter() override;
92
93 NetWriter(const NetWriter&) = default;
94 NetWriter(NetWriter&&) noexcept = default;
95 NetWriter& operator=(const NetWriter&) = default;
96 NetWriter& operator=(NetWriter&&) noexcept = default;
97
99
100 protected:
108 void _doWrite(std::ostream& output, const IBayesNet< GUM_SCALAR >& bn) final;
109
118 void _doWrite(const std::string& filePath, const IBayesNet< GUM_SCALAR >& bn) final;
119
120 private:
121 // Returns the header of the BN file.
122 static std::string _header_(const IBayesNet< GUM_SCALAR >& bn);
123
124 // Returns a bloc defining a variable in the BN format.
126
127 // Returns a bloc defining a variable's CPT in the BN format.
128 std::string _variableCPT_(const Tensor< GUM_SCALAR >& cpt);
129
130 // Returns the modalities labels of the variables in varsSeq
131 };
132
133
134#ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
135 extern template class NetWriter< double >;
136#endif
137
138} /* namespace gum */
139
141#endif // GUM_NET_WRITER_H
Definition of abstract classes for file output manipulation of Bayesian networks.
BNWriter()
Default constructor.
Base class for discrete random variable.
Class representing the minimal interface for Bayesian network with no numerical data.
Definition IBayesNet.h:75
static std::string _header_(const IBayesNet< GUM_SCALAR > &bn)
NetWriter(const NetWriter &)=default
Default constructor.
NetWriter()
Default constructor.
std::string _variableCPT_(const Tensor< GUM_SCALAR > &cpt)
void _doWrite(std::ostream &output, const IBayesNet< GUM_SCALAR > &bn) final
Writes a Bayesian network in the output stream using the BN format.
~NetWriter() override
Destructor.
std::string _variableBloc_(const DiscreteVariable &var)
NetWriter(NetWriter &&) noexcept=default
Default constructor.
aGrUM's Tensor is a multi-dimensional array with tensor operators.
Definition tensor.h:85
gum is the global namespace for all aGrUM entities
Definition agrum.h:46
STL namespace.