1c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// This file is part of Eigen, a lightweight C++ template library
2c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// for linear algebra.
3c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath//
4c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
5c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
6c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath//
7c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// This Source Code Form is subject to the terms of the Mozilla
8c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// Public License v. 2.0. If a copy of the MPL was not distributed
9c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
10c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
11c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#ifndef EIGEN_IO_H
12c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#define EIGEN_IO_H
13c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
14c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathnamespace Eigen {
15c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
16c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathenum { DontAlignCols = 1 };
17c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathenum { StreamPrecision = -1,
18c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath       FullPrecision = -2 };
19c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
20c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathnamespace internal {
21c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename Derived>
22c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathstd::ostream & print_matrix(std::ostream & s, const Derived& _m, const IOFormat& fmt);
23c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath}
24c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
25c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath/** \class IOFormat
26c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \ingroup Core_Module
27c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
28c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \brief Stores a set of parameters controlling the way matrices are printed
29c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
30c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * List of available parameters:
31c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *  - \b precision number of digits for floating point values, or one of the special constants \c StreamPrecision and \c FullPrecision.
32c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *                 The default is the special value \c StreamPrecision which means to use the
33c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *                 stream's own precision setting, as set for instance using \c cout.precision(3). The other special value
34c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *                 \c FullPrecision means that the number of digits will be computed to match the full precision of each floating-point
35c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *                 type.
36c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *  - \b flags an OR-ed combination of flags, the default value is 0, the only currently available flag is \c DontAlignCols which
37c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *             allows to disable the alignment of columns, resulting in faster code.
38c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *  - \b coeffSeparator string printed between two coefficients of the same row
39c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *  - \b rowSeparator string printed between two rows
40c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *  - \b rowPrefix string printed at the beginning of each row
41c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *  - \b rowSuffix string printed at the end of each row
42c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *  - \b matPrefix string printed at the beginning of the matrix
43c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *  - \b matSuffix string printed at the end of the matrix
44c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
45c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * Example: \include IOFormat.cpp
46c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * Output: \verbinclude IOFormat.out
47c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
48c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \sa DenseBase::format(), class WithFormat
49c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  */
50c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathstruct IOFormat
51c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
522b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang  /** Default constructor, see class IOFormat for the meaning of the parameters */
53c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  IOFormat(int _precision = StreamPrecision, int _flags = 0,
54c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    const std::string& _coeffSeparator = " ",
55c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    const std::string& _rowSeparator = "\n", const std::string& _rowPrefix="", const std::string& _rowSuffix="",
56c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    const std::string& _matPrefix="", const std::string& _matSuffix="")
57c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  : matPrefix(_matPrefix), matSuffix(_matSuffix), rowPrefix(_rowPrefix), rowSuffix(_rowSuffix), rowSeparator(_rowSeparator),
587faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez    rowSpacer(""), coeffSeparator(_coeffSeparator), precision(_precision), flags(_flags)
59c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  {
602b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang    // TODO check if rowPrefix, rowSuffix or rowSeparator contains a newline
612b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang    // don't add rowSpacer if columns are not to be aligned
622b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang    if((flags & DontAlignCols))
632b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang      return;
64c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    int i = int(matSuffix.length())-1;
65c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    while (i>=0 && matSuffix[i]!='\n')
66c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
67c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      rowSpacer += ' ';
68c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      i--;
69c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
70c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
71c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  std::string matPrefix, matSuffix;
72c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  std::string rowPrefix, rowSuffix, rowSeparator, rowSpacer;
73c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  std::string coeffSeparator;
74c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  int precision;
75c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  int flags;
76c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath};
77c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
78c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath/** \class WithFormat
79c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \ingroup Core_Module
80c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
81c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \brief Pseudo expression providing matrix output with given format
82c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
832b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang  * \tparam ExpressionType the type of the object on which IO stream operations are performed
84c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
85c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * This class represents an expression with stream operators controlled by a given IOFormat.
86c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * It is the return type of DenseBase::format()
87c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * and most of the time this is the only way it is used.
88c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
89c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * See class IOFormat for some examples.
90c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
91c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \sa DenseBase::format(), class IOFormat
92c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  */
93c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename ExpressionType>
94c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathclass WithFormat
95c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
96c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  public:
97c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
98c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    WithFormat(const ExpressionType& matrix, const IOFormat& format)
99c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      : m_matrix(matrix), m_format(format)
100c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {}
101c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
102c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    friend std::ostream & operator << (std::ostream & s, const WithFormat& wf)
103c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
104c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      return internal::print_matrix(s, wf.m_matrix.eval(), wf.m_format);
105c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
106c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
107c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  protected:
1082b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang    typename ExpressionType::Nested m_matrix;
109c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    IOFormat m_format;
110c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath};
111c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
112c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathnamespace internal {
113c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
1142b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang// NOTE: This helper is kept for backward compatibility with previous code specializing
1152b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang//       this internal::significant_decimals_impl structure. In the future we should directly
1162b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang//       call digits10() which has been introduced in July 2016 in 3.3.
117c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename Scalar>
1182b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wangstruct significant_decimals_impl
119c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
120c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  static inline int run()
121c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  {
1222b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang    return NumTraits<Scalar>::digits10();
123c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
124c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath};
125c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
126c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath/** \internal
127c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * print the matrix \a _m to the output stream \a s using the output format \a fmt */
128c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename Derived>
129c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathstd::ostream & print_matrix(std::ostream & s, const Derived& _m, const IOFormat& fmt)
130c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
131c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  if(_m.size() == 0)
132c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  {
133c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    s << fmt.matPrefix << fmt.matSuffix;
134c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    return s;
135c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
136c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
137c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typename Derived::Nested m = _m;
138c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename Derived::Scalar Scalar;
139c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
140c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  Index width = 0;
141c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
142c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  std::streamsize explicit_precision;
143c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  if(fmt.precision == StreamPrecision)
144c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  {
145c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    explicit_precision = 0;
146c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
147c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  else if(fmt.precision == FullPrecision)
148c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  {
149c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    if (NumTraits<Scalar>::IsInteger)
150c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
151c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      explicit_precision = 0;
152c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
153c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    else
154c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
155c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      explicit_precision = significant_decimals_impl<Scalar>::run();
156c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
157c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
158c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  else
159c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  {
160c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    explicit_precision = fmt.precision;
161c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
162c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
1637faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez  std::streamsize old_precision = 0;
1647faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez  if(explicit_precision) old_precision = s.precision(explicit_precision);
1657faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez
166c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  bool align_cols = !(fmt.flags & DontAlignCols);
167c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  if(align_cols)
168c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  {
169c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    // compute the largest width
1707faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez    for(Index j = 0; j < m.cols(); ++j)
171c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      for(Index i = 0; i < m.rows(); ++i)
172c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      {
173c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        std::stringstream sstr;
1747faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez        sstr.copyfmt(s);
175c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        sstr << m.coeff(i,j);
176c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        width = std::max<Index>(width, Index(sstr.str().length()));
177c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      }
178c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
179c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  s << fmt.matPrefix;
180c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  for(Index i = 0; i < m.rows(); ++i)
181c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  {
182c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    if (i)
183c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      s << fmt.rowSpacer;
184c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    s << fmt.rowPrefix;
185c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    if(width) s.width(width);
186c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    s << m.coeff(i, 0);
187c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    for(Index j = 1; j < m.cols(); ++j)
188c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
189c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      s << fmt.coeffSeparator;
190c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      if (width) s.width(width);
191c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      s << m.coeff(i, j);
192c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
193c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    s << fmt.rowSuffix;
194c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    if( i < m.rows() - 1)
195c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      s << fmt.rowSeparator;
196c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
197c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  s << fmt.matSuffix;
198c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  if(explicit_precision) s.precision(old_precision);
199c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  return s;
200c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath}
201c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
202c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath} // end namespace internal
203c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
204c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath/** \relates DenseBase
205c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
206c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * Outputs the matrix, to the given stream.
207c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
208c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * If you wish to print the matrix with a format different than the default, use DenseBase::format().
209c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
210c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * It is also possible to change the default format by defining EIGEN_DEFAULT_IO_FORMAT before including Eigen headers.
211c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * If not defined, this will automatically be defined to Eigen::IOFormat(), that is the Eigen::IOFormat with default parameters.
212c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
213c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \sa DenseBase::format()
214c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  */
215c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename Derived>
216c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathstd::ostream & operator <<
217c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath(std::ostream & s,
218c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath const DenseBase<Derived> & m)
219c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
220c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  return internal::print_matrix(s, m.eval(), EIGEN_DEFAULT_IO_FORMAT);
221c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath}
222c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
223c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath} // end namespace Eigen
224c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
225c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#endif // EIGEN_IO_H
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