slvs 0.6.0

Rust wrapper for the SolveSpace constraint solver library.
Documentation 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162

// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.

#ifndef EIGEN_ALLANDANY_H
#define EIGEN_ALLANDANY_H

namespace Eigen { 

namespace internal {

template<typename Derived, int UnrollCount, int Rows>
struct all_unroller
{
  enum {
    col = (UnrollCount-1) / Rows,
    row = (UnrollCount-1) % Rows
  };

  EIGEN_DEVICE_FUNC static inline bool run(const Derived &mat)
  {
    return all_unroller<Derived, UnrollCount-1, Rows>::run(mat) && mat.coeff(row, col);
  }
};

template<typename Derived, int Rows>
struct all_unroller<Derived, 0, Rows>
{
  EIGEN_DEVICE_FUNC static inline bool run(const Derived &/*mat*/) { return true; }
};

template<typename Derived, int Rows>
struct all_unroller<Derived, Dynamic, Rows>
{
  EIGEN_DEVICE_FUNC static inline bool run(const Derived &) { return false; }
};

template<typename Derived, int UnrollCount, int Rows>
struct any_unroller
{
  enum {
    col = (UnrollCount-1) / Rows,
    row = (UnrollCount-1) % Rows
  };
  
  EIGEN_DEVICE_FUNC static inline bool run(const Derived &mat)
  {
    return any_unroller<Derived, UnrollCount-1, Rows>::run(mat) || mat.coeff(row, col);
  }
};

template<typename Derived, int Rows>
struct any_unroller<Derived, 0, Rows>
{
  EIGEN_DEVICE_FUNC static inline bool run(const Derived & /*mat*/) { return false; }
};

template<typename Derived, int Rows>
struct any_unroller<Derived, Dynamic, Rows>
{
  EIGEN_DEVICE_FUNC static inline bool run(const Derived &) { return false; }
};

} // end namespace internal

/** \returns true if all coefficients are true
  *
  * Example: \include MatrixBase_all.cpp
  * Output: \verbinclude MatrixBase_all.out
  *
  * \sa any(), Cwise::operator<()
  */
template<typename Derived>
EIGEN_DEVICE_FUNC inline bool DenseBase<Derived>::all() const
{
  typedef internal::evaluator<Derived> Evaluator;
  enum {
    unroll = SizeAtCompileTime != Dynamic
          && SizeAtCompileTime * (int(Evaluator::CoeffReadCost) + int(NumTraits<Scalar>::AddCost)) <= EIGEN_UNROLLING_LIMIT
  };
  Evaluator evaluator(derived());
  if(unroll)
    return internal::all_unroller<Evaluator, unroll ? int(SizeAtCompileTime) : Dynamic, internal::traits<Derived>::RowsAtCompileTime>::run(evaluator);
  else
  {
    for(Index j = 0; j < cols(); ++j)
      for(Index i = 0; i < rows(); ++i)
        if (!evaluator.coeff(i, j)) return false;
    return true;
  }
}

/** \returns true if at least one coefficient is true
  *
  * \sa all()
  */
template<typename Derived>
EIGEN_DEVICE_FUNC inline bool DenseBase<Derived>::any() const
{
  typedef internal::evaluator<Derived> Evaluator;
  enum {
    unroll = SizeAtCompileTime != Dynamic
          && SizeAtCompileTime * (int(Evaluator::CoeffReadCost) + int(NumTraits<Scalar>::AddCost)) <= EIGEN_UNROLLING_LIMIT
  };
  Evaluator evaluator(derived());
  if(unroll)
    return internal::any_unroller<Evaluator, unroll ? int(SizeAtCompileTime) : Dynamic, internal::traits<Derived>::RowsAtCompileTime>::run(evaluator);
  else
  {
    for(Index j = 0; j < cols(); ++j)
      for(Index i = 0; i < rows(); ++i)
        if (evaluator.coeff(i, j)) return true;
    return false;
  }
}

/** \returns the number of coefficients which evaluate to true
  *
  * \sa all(), any()
  */
template<typename Derived>
EIGEN_DEVICE_FUNC inline Eigen::Index DenseBase<Derived>::count() const
{
  return derived().template cast<bool>().template cast<Index>().sum();
}

/** \returns true is \c *this contains at least one Not A Number (NaN).
  *
  * \sa allFinite()
  */
template<typename Derived>
inline bool DenseBase<Derived>::hasNaN() const
{
#if EIGEN_COMP_MSVC || (defined __FAST_MATH__)
  return derived().array().isNaN().any();
#else
  return !((derived().array()==derived().array()).all());
#endif
}

/** \returns true if \c *this contains only finite numbers, i.e., no NaN and no +/-INF values.
  *
  * \sa hasNaN()
  */
template<typename Derived>
inline bool DenseBase<Derived>::allFinite() const
{
#if EIGEN_COMP_MSVC || (defined __FAST_MATH__)
  return derived().array().isFinite().all();
#else
  return !((derived()-derived()).hasNaN());
#endif
}
    
} // end namespace Eigen

#endif // EIGEN_ALLANDANY_H