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{
52c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  /** Default contructor, 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),
58c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    coeffSeparator(_coeffSeparator), precision(_precision), flags(_flags)
59c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  {
60c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    rowSpacer = "";
61c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    int i = int(matSuffix.length())-1;
62c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    while (i>=0 && matSuffix[i]!='\n')
63c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
64c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      rowSpacer += ' ';
65c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      i--;
66c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
67c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
68c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  std::string matPrefix, matSuffix;
69c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  std::string rowPrefix, rowSuffix, rowSeparator, rowSpacer;
70c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  std::string coeffSeparator;
71c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  int precision;
72c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  int flags;
73c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath};
74c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
75c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath/** \class WithFormat
76c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \ingroup Core_Module
77c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
78c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \brief Pseudo expression providing matrix output with given format
79c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
80c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \param ExpressionType the type of the object on which IO stream operations are performed
81c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
82c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * This class represents an expression with stream operators controlled by a given IOFormat.
83c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * It is the return type of DenseBase::format()
84c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * and most of the time this is the only way it is used.
85c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
86c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * See class IOFormat for some examples.
87c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
88c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \sa DenseBase::format(), class IOFormat
89c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  */
90c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename ExpressionType>
91c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathclass WithFormat
92c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
93c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  public:
94c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
95c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    WithFormat(const ExpressionType& matrix, const IOFormat& format)
96c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      : m_matrix(matrix), m_format(format)
97c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {}
98c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
99c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    friend std::ostream & operator << (std::ostream & s, const WithFormat& wf)
100c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
101c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      return internal::print_matrix(s, wf.m_matrix.eval(), wf.m_format);
102c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
103c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
104c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  protected:
105c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    const typename ExpressionType::Nested m_matrix;
106c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    IOFormat m_format;
107c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath};
108c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
109c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath/** \returns a WithFormat proxy object allowing to print a matrix the with given
110c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * format \a fmt.
111c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
112c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * See class IOFormat for some examples.
113c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
114c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \sa class IOFormat, class WithFormat
115c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  */
116c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename Derived>
117c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathinline const WithFormat<Derived>
118c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan KamathDenseBase<Derived>::format(const IOFormat& fmt) const
119c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
120c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  return WithFormat<Derived>(derived(), fmt);
121c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath}
122c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
123c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathnamespace internal {
124c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
125c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename Scalar, bool IsInteger>
126c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathstruct significant_decimals_default_impl
127c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
128c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename NumTraits<Scalar>::Real RealScalar;
129c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  static inline int run()
130c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  {
131c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    using std::ceil;
132c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    return cast<RealScalar,int>(ceil(-log(NumTraits<RealScalar>::epsilon())/log(RealScalar(10))));
133c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
134c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath};
135c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
136c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename Scalar>
137c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathstruct significant_decimals_default_impl<Scalar, true>
138c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
139c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  static inline int run()
140c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  {
141c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    return 0;
142c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
143c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath};
144c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
145c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename Scalar>
146c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathstruct significant_decimals_impl
147c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  : significant_decimals_default_impl<Scalar, NumTraits<Scalar>::IsInteger>
148c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{};
149c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
150c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath/** \internal
151c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * print the matrix \a _m to the output stream \a s using the output format \a fmt */
152c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename Derived>
153c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathstd::ostream & print_matrix(std::ostream & s, const Derived& _m, const IOFormat& fmt)
154c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
155c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  if(_m.size() == 0)
156c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  {
157c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    s << fmt.matPrefix << fmt.matSuffix;
158c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    return s;
159c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
160c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
161c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typename Derived::Nested m = _m;
162c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename Derived::Scalar Scalar;
163c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename Derived::Index Index;
164c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
165c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  Index width = 0;
166c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
167c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  std::streamsize explicit_precision;
168c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  if(fmt.precision == StreamPrecision)
169c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  {
170c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    explicit_precision = 0;
171c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
172c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  else if(fmt.precision == FullPrecision)
173c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  {
174c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    if (NumTraits<Scalar>::IsInteger)
175c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
176c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      explicit_precision = 0;
177c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
178c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    else
179c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
180c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      explicit_precision = significant_decimals_impl<Scalar>::run();
181c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
182c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
183c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  else
184c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  {
185c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    explicit_precision = fmt.precision;
186c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
187c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
188c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  bool align_cols = !(fmt.flags & DontAlignCols);
189c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  if(align_cols)
190c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  {
191c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    // compute the largest width
192c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    for(Index j = 1; j < m.cols(); ++j)
193c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      for(Index i = 0; i < m.rows(); ++i)
194c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      {
195c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        std::stringstream sstr;
196c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        if(explicit_precision) sstr.precision(explicit_precision);
197c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        sstr << m.coeff(i,j);
198c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        width = std::max<Index>(width, Index(sstr.str().length()));
199c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      }
200c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
201c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  std::streamsize old_precision = 0;
202c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  if(explicit_precision) old_precision = s.precision(explicit_precision);
203c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  s << fmt.matPrefix;
204c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  for(Index i = 0; i < m.rows(); ++i)
205c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  {
206c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    if (i)
207c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      s << fmt.rowSpacer;
208c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    s << fmt.rowPrefix;
209c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    if(width) s.width(width);
210c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    s << m.coeff(i, 0);
211c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    for(Index j = 1; j < m.cols(); ++j)
212c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
213c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      s << fmt.coeffSeparator;
214c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      if (width) s.width(width);
215c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      s << m.coeff(i, j);
216c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
217c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    s << fmt.rowSuffix;
218c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    if( i < m.rows() - 1)
219c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      s << fmt.rowSeparator;
220c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
221c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  s << fmt.matSuffix;
222c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  if(explicit_precision) s.precision(old_precision);
223c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  return s;
224c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath}
225c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
226c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath} // end namespace internal
227c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
228c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath/** \relates DenseBase
229c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
230c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * Outputs the matrix, to the given stream.
231c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
232c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * If you wish to print the matrix with a format different than the default, use DenseBase::format().
233c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
234c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * It is also possible to change the default format by defining EIGEN_DEFAULT_IO_FORMAT before including Eigen headers.
235c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * If not defined, this will automatically be defined to Eigen::IOFormat(), that is the Eigen::IOFormat with default parameters.
236c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
237c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \sa DenseBase::format()
238c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  */
239c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename Derived>
240c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathstd::ostream & operator <<
241c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath(std::ostream & s,
242c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath const DenseBase<Derived> & m)
243c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
244c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  return internal::print_matrix(s, m.eval(), EIGEN_DEFAULT_IO_FORMAT);
245c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath}
246c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
247c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath} // end namespace Eigen
248c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
249c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#endif // EIGEN_IO_H
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